Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c193' (ED25519) to the list of known hosts. You can reproduce this build on your computer by running: sudo dnf install copr-rpmbuild /usr/bin/copr-rpmbuild --verbose --drop-resultdir --task-url https://copr.fedorainfracloud.org/backend/get-build-task/7975920-fedora-39-x86_64 --chroot fedora-39-x86_64 Version: 0.73 PID: 11023 Logging PID: 11024 Task: {'allow_user_ssh': False, 'appstream': False, 'background': False, 'bootstrap': 'off', 'build_id': 7975920, 'buildroot_pkgs': [], 'chroot': 'fedora-39-x86_64', 'enable_net': False, 'fedora_review': False, 'git_hash': '176e71cf740078b84486a946e82ad4e27a4db134', 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-adelie', 'isolation': 'default', 'memory_reqs': 2048, 'package_name': 'R-CRAN-adelie', 'package_version': '1.0.2-1.copr7975920', 'project_dirname': 'cran', 'project_name': 'cran', 'project_owner': 'iucar', 'repo_priority': None, 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/iucar/cran/fedora-39-x86_64/', 'id': 'copr_base', 'name': 'Copr repository', 'priority': None}], 'sandbox': 'iucar/cran--iucar', 'source_json': {}, 'source_type': None, 'ssh_public_keys': None, 'submitter': 'iucar', 'tags': [], 'task_id': '7975920-fedora-39-x86_64', 'timeout': 18000, 'uses_devel_repo': False, 'with_opts': [], 'without_opts': []} Running: git clone https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-adelie /var/lib/copr-rpmbuild/workspace/workdir-_94nmknt/R-CRAN-adelie --depth 500 --no-single-branch --recursive cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-adelie', '/var/lib/copr-rpmbuild/workspace/workdir-_94nmknt/R-CRAN-adelie', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-_94nmknt/R-CRAN-adelie'... Running: git checkout 176e71cf740078b84486a946e82ad4e27a4db134 -- cmd: ['git', 'checkout', '176e71cf740078b84486a946e82ad4e27a4db134', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-_94nmknt/R-CRAN-adelie rc: 0 stdout: stderr: Note: switching to '176e71cf740078b84486a946e82ad4e27a4db134'. You are in 'detached HEAD' state. You can look around, make experimental changes and commit them, and you can discard any commits you make in this state without impacting any branches by switching back to a branch. If you want to create a new branch to retain commits you create, you may do so (now or later) by using -c with the switch command. Example: git switch -c Or undo this operation with: git switch - Turn off this advice by setting config variable advice.detachedHead to false HEAD is now at 176e71c automatic import of R-CRAN-adelie Running: copr-distgit-client sources /usr/bin/tail: cmd: ['copr-distgit-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-_94nmknt/R-CRAN-adelie rc: 0 stdout: stderr: INFO: Reading stdout from command: git rev-parse --abbrev-ref HEAD INFO: Reading stdout from command: git rev-parse HEAD INFO: Reading sources specification file: sources INFO: Downloading adelie_1.0.2.tar.gz INFO: Reading stdout from command: curl --help all INFO: Calling: curl -H Pragma: -o adelie_1.0.2.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/iucar/cran/R-CRAN-adelie/adelie_1.0.2.tar.gz/md5/abca9084597c1802b35dd735760eeee3/adelie_1.0.2.tar.gz % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 840k 100 840k 0 0 9548k 0 --:--:-- --:--:-- --:--:-- 9664k INFO: Reading stdout from command: md5sum adelie_1.0.2.tar.gz /var/lib/copr-rpmbuild/main.log: file truncated Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-_94nmknt/R-CRAN-adelie/R-CRAN-adelie.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-_94nmknt/R-CRAN-adelie --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1725413460.725143 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 5.6 starting (python version = 3.12.1, NVR = mock-5.6-1.fc39), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-_94nmknt/R-CRAN-adelie/R-CRAN-adelie.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-_94nmknt/R-CRAN-adelie --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1725413460.725143 -r /var/lib/copr-rpmbuild/results/configs/child.cfg Start: init plugins INFO: tmpfs initialized INFO: selinux enabled INFO: chroot_scan: initialized INFO: compress_logs: initialized Finish: init plugins INFO: Signal handler active Start: run INFO: Start(/var/lib/copr-rpmbuild/workspace/workdir-_94nmknt/R-CRAN-adelie/R-CRAN-adelie.spec) Config(fedora-39-x86_64) Start: clean chroot Finish: clean chroot Mock Version: 5.6 INFO: Mock Version: 5.6 Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-39-x86_64-1725413460.725143/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Package manager dnf detected and used (fallback) INFO: Buildroot is handled by package management from host and used with --installroot: rpm-4.19.1.1-1.fc39.x86_64 rpm-sequoia-1.6.0-1.fc39.x86_64 python3-dnf-4.21.0-1.fc39.noarch python3-dnf-plugins-core-4.8.0-1.fc39.noarch yum-4.21.0-1.fc39.noarch dnf5-5.1.17-2.fc39.x86_64 dnf5-plugins-5.1.17-2.fc39.x86_64 Start: installing minimal buildroot with dnf No matches found for the following disable plugin patterns: local, spacewalk, versionlock Updating Subscription Management repositories. Unable to read consumer identity This system is not registered with an entitlement server. You can use subscription-manager to register. Copr repository 50 MB/s | 28 MB 00:00 fedora 27 MB/s | 89 MB 00:03 updates 4.0 MB/s | 41 MB 00:10 Last metadata expiration check: 0:00:05 ago on Wed Sep 4 01:31:36 2024. Dependencies resolved. ================================================================================ Package Arch Version Repo Size ================================================================================ Installing group/module packages: bash x86_64 5.2.26-1.fc39 updates 1.8 M bzip2 x86_64 1.0.8-16.fc39 fedora 52 k coreutils x86_64 9.3-6.fc39 updates 1.1 M cpio x86_64 2.14-4.fc39 fedora 279 k diffutils x86_64 3.10-3.fc39 fedora 398 k fedora-release-common noarch 39-36 updates 19 k findutils x86_64 1:4.9.0-6.fc39 updates 490 k gawk x86_64 5.2.2-2.fc39 fedora 1.1 M glibc-minimal-langpack x86_64 2.38-18.fc39 updates 73 k grep x86_64 3.11-3.fc39 fedora 298 k gzip x86_64 1.12-6.fc39 fedora 166 k info x86_64 7.0.3-3.fc39 fedora 182 k patch x86_64 2.7.6-22.fc39 fedora 125 k redhat-rpm-config noarch 266-1.fc39 updates 78 k rpm-build x86_64 4.19.1.1-1.fc39 updates 78 k sed x86_64 4.8-14.fc39 fedora 306 k shadow-utils x86_64 2:4.14.0-2.fc39 updates 1.3 M tar x86_64 2:1.35-2.fc39 fedora 864 k unzip x86_64 6.0-62.fc39 fedora 184 k util-linux x86_64 2.39.4-1.fc39 updates 1.2 M which x86_64 2.21-40.fc39 fedora 42 k xz x86_64 5.4.4-1.fc39 fedora 556 k Installing dependencies: alternatives x86_64 1.26-1.fc39 updates 39 k ansible-srpm-macros noarch 1-12.fc39 updates 21 k audit-libs x86_64 3.1.5-1.fc39 updates 123 k authselect x86_64 1.4.3-1.fc39 fedora 149 k authselect-libs x86_64 1.4.3-1.fc39 fedora 249 k basesystem noarch 11-18.fc39 fedora 7.2 k binutils x86_64 2.40-14.fc39 updates 5.6 M binutils-gold x86_64 2.40-14.fc39 updates 795 k bzip2-libs x86_64 1.0.8-16.fc39 fedora 41 k ca-certificates noarch 2023.2.60_v7.0.306-2.fc39 fedora 837 k coreutils-common x86_64 9.3-6.fc39 updates 2.1 M cracklib x86_64 2.9.11-2.fc39 fedora 94 k crypto-policies noarch 20231204-1.git1e3a2e4.fc39 updates 100 k curl x86_64 8.2.1-5.fc39 updates 344 k cyrus-sasl-lib x86_64 2.1.28-11.fc39 fedora 793 k debugedit x86_64 5.0-12.fc39 updates 79 k dwz x86_64 0.15-3.fc39 fedora 134 k ed x86_64 1.19-4.fc39 fedora 79 k efi-srpm-macros noarch 5-9.fc39 fedora 22 k elfutils x86_64 0.191-2.fc39 updates 559 k elfutils-debuginfod-client x86_64 0.191-2.fc39 updates 38 k elfutils-default-yama-scope noarch 0.191-2.fc39 updates 13 k elfutils-libelf x86_64 0.191-2.fc39 updates 209 k elfutils-libs x86_64 0.191-2.fc39 updates 263 k fedora-gpg-keys noarch 39-2 updates 130 k fedora-release noarch 39-36 updates 8.6 k fedora-release-identity-basic noarch 39-36 updates 9.4 k fedora-repos noarch 39-2 updates 9.3 k file x86_64 5.44-5.fc39 fedora 49 k file-libs x86_64 5.44-5.fc39 fedora 729 k filesystem x86_64 3.18-6.fc39 fedora 1.1 M fonts-srpm-macros noarch 1:2.0.5-12.fc39 fedora 26 k forge-srpm-macros noarch 0.3.1-1.fc39 updates 19 k fpc-srpm-macros noarch 1.3-8.fc39 fedora 7.4 k gdb-minimal x86_64 14.2-2.fc39 updates 4.3 M gdbm-libs x86_64 1:1.23-4.fc39 fedora 56 k ghc-srpm-macros noarch 1.6.1-2.fc39 fedora 7.8 k glibc x86_64 2.38-18.fc39 updates 2.2 M glibc-common x86_64 2.38-18.fc39 updates 353 k glibc-gconv-extra x86_64 2.38-18.fc39 updates 1.6 M gmp x86_64 1:6.2.1-5.fc39 fedora 313 k gnat-srpm-macros noarch 6-3.fc39 fedora 8.8 k go-srpm-macros noarch 3.5.0-1.fc39 updates 28 k jansson x86_64 2.13.1-7.fc39 fedora 44 k kernel-srpm-macros noarch 1.0-20.fc39 fedora 10 k keyutils-libs x86_64 1.6.3-1.fc39 updates 31 k krb5-libs x86_64 1.21.3-1.fc39 updates 764 k libacl x86_64 2.3.1-9.fc39 updates 23 k libarchive x86_64 3.7.1-2.fc39 updates 407 k libattr x86_64 2.5.1-8.fc39 fedora 18 k libblkid x86_64 2.39.4-1.fc39 updates 116 k libbrotli x86_64 1.1.0-1.fc39 fedora 336 k libcap x86_64 2.48-9.fc39 updates 68 k libcap-ng x86_64 0.8.3-8.fc39 fedora 32 k libcom_err x86_64 1.47.0-2.fc39 fedora 26 k libcurl x86_64 8.2.1-5.fc39 updates 322 k libdb x86_64 5.3.28-56.fc39 fedora 760 k libeconf x86_64 0.5.2-2.fc39 updates 30 k libevent x86_64 2.1.12-9.fc39 fedora 258 k libfdisk x86_64 2.39.4-1.fc39 updates 161 k libffi x86_64 3.4.4-4.fc39 fedora 40 k libgcc x86_64 13.3.1-1.fc39 updates 118 k libgomp x86_64 13.3.1-1.fc39 updates 328 k libidn2 x86_64 2.3.7-1.fc39 updates 119 k libmount x86_64 2.39.4-1.fc39 updates 154 k libnghttp2 x86_64 1.55.1-5.fc39 updates 75 k libnsl2 x86_64 2.0.0-6.fc39 fedora 30 k libpkgconf x86_64 1.9.5-2.fc39 fedora 38 k libpsl x86_64 0.21.2-4.fc39 fedora 63 k libpwquality x86_64 1.4.5-6.fc39 fedora 120 k libselinux x86_64 3.5-5.fc39 fedora 87 k libsemanage x86_64 3.5-4.fc39 fedora 120 k libsepol x86_64 3.5-2.fc39 fedora 324 k libsigsegv x86_64 2.14-5.fc39 fedora 27 k libsmartcols x86_64 2.39.4-1.fc39 updates 67 k libssh x86_64 0.10.6-2.fc39 updates 212 k libssh-config noarch 0.10.6-2.fc39 updates 9.0 k libstdc++ x86_64 13.3.1-1.fc39 updates 869 k libtasn1 x86_64 4.19.0-3.fc39 fedora 74 k libtirpc x86_64 1.3.5-0.fc39 updates 94 k libtool-ltdl x86_64 2.4.7-7.fc39 fedora 36 k libunistring x86_64 1.1-5.fc39 fedora 543 k libutempter x86_64 1.2.1-10.fc39 fedora 26 k libuuid x86_64 2.39.4-1.fc39 updates 28 k libverto x86_64 0.3.2-6.fc39 fedora 20 k libxcrypt x86_64 4.4.36-2.fc39 fedora 119 k libxml2 x86_64 2.10.4-3.fc39 fedora 701 k libzstd x86_64 1.5.6-1.fc39 updates 312 k lua-libs x86_64 5.4.6-3.fc39 fedora 133 k lua-srpm-macros noarch 1-13.fc39 updates 8.7 k lz4-libs x86_64 1.9.4-4.fc39 fedora 67 k mpfr x86_64 4.2.0-3.fc39 fedora 344 k ncurses-base noarch 6.4-7.20230520.fc39.1 updates 88 k ncurses-libs x86_64 6.4-7.20230520.fc39.1 updates 336 k ocaml-srpm-macros noarch 8-2.fc39 fedora 14 k openblas-srpm-macros noarch 2-14.fc39 fedora 7.5 k openldap x86_64 2.6.7-1.fc39 updates 254 k openssl-libs x86_64 1:3.1.4-3.fc39 updates 2.2 M p11-kit x86_64 0.25.5-1.fc39 updates 515 k p11-kit-trust x86_64 0.25.5-1.fc39 updates 138 k package-notes-srpm-macros noarch 0.5-9.fc39 fedora 11 k pam x86_64 1.5.3-3.fc39 updates 542 k pam-libs x86_64 1.5.3-3.fc39 updates 56 k pcre2 x86_64 10.42-1.fc39.2 fedora 233 k pcre2-syntax noarch 10.42-1.fc39.2 fedora 143 k perl-srpm-macros noarch 1-51.fc39 fedora 8.0 k pkgconf x86_64 1.9.5-2.fc39 fedora 42 k pkgconf-m4 noarch 1.9.5-2.fc39 fedora 14 k pkgconf-pkg-config x86_64 1.9.5-2.fc39 fedora 9.6 k popt x86_64 1.19-3.fc39 fedora 66 k publicsuffix-list-dafsa noarch 20240107-1.fc39 updates 58 k pyproject-srpm-macros noarch 1.13.0-1.fc39 updates 13 k python-srpm-macros noarch 3.12-8.fc39 updates 23 k qt5-srpm-macros noarch 5.15.14-2.fc39 updates 8.9 k qt6-srpm-macros noarch 6.6.2-1.fc39 updates 8.9 k readline x86_64 8.2-6.fc39 updates 212 k rpm x86_64 4.19.1.1-1.fc39 updates 538 k rpm-build-libs x86_64 4.19.1.1-1.fc39 updates 95 k rpm-libs x86_64 4.19.1.1-1.fc39 updates 312 k rpm-sequoia x86_64 1.7.0-1.fc39 updates 904 k rpmautospec-rpm-macros noarch 0.7.1-1.fc39 updates 10 k rust-srpm-macros noarch 26.3-1.fc39 updates 13 k setup noarch 2.14.4-1.fc39 fedora 154 k sqlite-libs x86_64 3.42.0-7.fc39 fedora 678 k systemd-libs x86_64 254.16-1.fc39 updates 683 k util-linux-core x86_64 2.39.4-1.fc39 updates 507 k xxhash-libs x86_64 0.8.2-1.fc39 fedora 37 k xz-libs x86_64 5.4.4-1.fc39 fedora 108 k zip x86_64 3.0-39.fc39 fedora 266 k zlib x86_64 1.2.13-4.fc39 fedora 94 k zstd x86_64 1.5.6-1.fc39 updates 479 k Installing Groups: Buildsystem building group Transaction Summary ================================================================================ Install 153 Packages Total download size: 52 M Installed size: 179 M Downloading Packages: (1/153): basesystem-11-18.fc39.noarch.rpm 106 kB/s | 7.2 kB 00:00 (2/153): authselect-libs-1.4.3-1.fc39.x86_64.rp 2.4 MB/s | 249 kB 00:00 (3/153): bzip2-1.0.8-16.fc39.x86_64.rpm 1.3 MB/s | 52 kB 00:00 (4/153): bzip2-libs-1.0.8-16.fc39.x86_64.rpm 2.4 MB/s | 41 kB 00:00 (5/153): authselect-1.4.3-1.fc39.x86_64.rpm 1.1 MB/s | 149 kB 00:00 (6/153): cpio-2.14-4.fc39.x86_64.rpm 4.4 MB/s | 279 kB 00:00 (7/153): cracklib-2.9.11-2.fc39.x86_64.rpm 1.2 MB/s | 94 kB 00:00 (8/153): ca-certificates-2023.2.60_v7.0.306-2.f 8.0 MB/s | 837 kB 00:00 (9/153): cyrus-sasl-lib-2.1.28-11.fc39.x86_64.r 6.1 MB/s | 793 kB 00:00 (10/153): diffutils-3.10-3.fc39.x86_64.rpm 3.4 MB/s | 398 kB 00:00 (11/153): ed-1.19-4.fc39.x86_64.rpm 3.8 MB/s | 79 kB 00:00 (12/153): efi-srpm-macros-5-9.fc39.noarch.rpm 1.2 MB/s | 22 kB 00:00 (13/153): file-5.44-5.fc39.x86_64.rpm 2.2 MB/s | 49 kB 00:00 (14/153): dwz-0.15-3.fc39.x86_64.rpm 868 kB/s | 134 kB 00:00 (15/153): file-libs-5.44-5.fc39.x86_64.rpm 8.0 MB/s | 729 kB 00:00 (16/153): fpc-srpm-macros-1.3-8.fc39.noarch.rpm 232 kB/s | 7.4 kB 00:00 (17/153): filesystem-3.18-6.fc39.x86_64.rpm 6.4 MB/s | 1.1 MB 00:00 (18/153): gawk-5.2.2-2.fc39.x86_64.rpm 12 MB/s | 1.1 MB 00:00 (19/153): gdbm-libs-1.23-4.fc39.x86_64.rpm 1.4 MB/s | 56 kB 00:00 (20/153): ghc-srpm-macros-1.6.1-2.fc39.noarch.r 490 kB/s | 7.8 kB 00:00 (21/153): fonts-srpm-macros-2.0.5-12.fc39.noarc 120 kB/s | 26 kB 00:00 (22/153): gnat-srpm-macros-6-3.fc39.noarch.rpm 253 kB/s | 8.8 kB 00:00 (23/153): gmp-6.2.1-5.fc39.x86_64.rpm 7.8 MB/s | 313 kB 00:00 (24/153): grep-3.11-3.fc39.x86_64.rpm 5.4 MB/s | 298 kB 00:00 (25/153): gzip-1.12-6.fc39.x86_64.rpm 3.6 MB/s | 166 kB 00:00 (26/153): info-7.0.3-3.fc39.x86_64.rpm 3.9 MB/s | 182 kB 00:00 (27/153): kernel-srpm-macros-1.0-20.fc39.noarch 731 kB/s | 10 kB 00:00 (28/153): jansson-2.13.1-7.fc39.x86_64.rpm 2.1 MB/s | 44 kB 00:00 (29/153): libattr-2.5.1-8.fc39.x86_64.rpm 1.2 MB/s | 18 kB 00:00 (30/153): libcap-ng-0.8.3-8.fc39.x86_64.rpm 399 kB/s | 32 kB 00:00 (31/153): libbrotli-1.1.0-1.fc39.x86_64.rpm 3.1 MB/s | 336 kB 00:00 (32/153): libevent-2.1.12-9.fc39.x86_64.rpm 5.5 MB/s | 258 kB 00:00 (33/153): libcom_err-1.47.0-2.fc39.x86_64.rpm 169 kB/s | 26 kB 00:00 (34/153): libdb-5.3.28-56.fc39.x86_64.rpm 5.1 MB/s | 760 kB 00:00 (35/153): libnsl2-2.0.0-6.fc39.x86_64.rpm 266 kB/s | 30 kB 00:00 (36/153): libpkgconf-1.9.5-2.fc39.x86_64.rpm 861 kB/s | 38 kB 00:00 (37/153): libpwquality-1.4.5-6.fc39.x86_64.rpm 2.2 MB/s | 120 kB 00:00 (38/153): libselinux-3.5-5.fc39.x86_64.rpm 1.9 MB/s | 87 kB 00:00 (39/153): libpsl-0.21.2-4.fc39.x86_64.rpm 567 kB/s | 63 kB 00:00 (40/153): libsemanage-3.5-4.fc39.x86_64.rpm 3.6 MB/s | 120 kB 00:00 (41/153): libsigsegv-2.14-5.fc39.x86_64.rpm 752 kB/s | 27 kB 00:00 (42/153): libffi-3.4.4-4.fc39.x86_64.rpm 125 kB/s | 40 kB 00:00 (43/153): libtool-ltdl-2.4.7-7.fc39.x86_64.rpm 1.7 MB/s | 36 kB 00:00 (44/153): libtasn1-4.19.0-3.fc39.x86_64.rpm 1.3 MB/s | 74 kB 00:00 (45/153): libunistring-1.1-5.fc39.x86_64.rpm 12 MB/s | 543 kB 00:00 (46/153): libutempter-1.2.1-10.fc39.x86_64.rpm 688 kB/s | 26 kB 00:00 (47/153): libverto-0.3.2-6.fc39.x86_64.rpm 568 kB/s | 20 kB 00:00 (48/153): libxcrypt-4.4.36-2.fc39.x86_64.rpm 2.3 MB/s | 119 kB 00:00 (49/153): libxml2-2.10.4-3.fc39.x86_64.rpm 11 MB/s | 701 kB 00:00 (50/153): lua-libs-5.4.6-3.fc39.x86_64.rpm 1.8 MB/s | 133 kB 00:00 (51/153): lz4-libs-1.9.4-4.fc39.x86_64.rpm 1.9 MB/s | 67 kB 00:00 (52/153): ocaml-srpm-macros-8-2.fc39.noarch.rpm 472 kB/s | 14 kB 00:00 (53/153): openblas-srpm-macros-2-14.fc39.noarch 410 kB/s | 7.5 kB 00:00 (54/153): libsepol-3.5-2.fc39.x86_64.rpm 931 kB/s | 324 kB 00:00 (55/153): package-notes-srpm-macros-0.5-9.fc39. 760 kB/s | 11 kB 00:00 (56/153): mpfr-4.2.0-3.fc39.x86_64.rpm 4.3 MB/s | 344 kB 00:00 (57/153): patch-2.7.6-22.fc39.x86_64.rpm 1.2 MB/s | 125 kB 00:00 (58/153): pcre2-10.42-1.fc39.2.x86_64.rpm 1.3 MB/s | 233 kB 00:00 (59/153): pcre2-syntax-10.42-1.fc39.2.noarch.rp 448 kB/s | 143 kB 00:00 (60/153): perl-srpm-macros-1-51.fc39.noarch.rpm 24 kB/s | 8.0 kB 00:00 (61/153): pkgconf-1.9.5-2.fc39.x86_64.rpm 164 kB/s | 42 kB 00:00 (62/153): pkgconf-m4-1.9.5-2.fc39.noarch.rpm 120 kB/s | 14 kB 00:00 (63/153): pkgconf-pkg-config-1.9.5-2.fc39.x86_6 472 kB/s | 9.6 kB 00:00 (64/153): popt-1.19-3.fc39.x86_64.rpm 4.2 MB/s | 66 kB 00:00 (65/153): sed-4.8-14.fc39.x86_64.rpm 3.9 MB/s | 306 kB 00:00 (66/153): sqlite-libs-3.42.0-7.fc39.x86_64.rpm 10 MB/s | 678 kB 00:00 (67/153): setup-2.14.4-1.fc39.noarch.rpm 1.3 MB/s | 154 kB 00:00 (68/153): unzip-6.0-62.fc39.x86_64.rpm 3.7 MB/s | 184 kB 00:00 (69/153): xxhash-libs-0.8.2-1.fc39.x86_64.rpm 1.7 MB/s | 37 kB 00:00 (70/153): tar-1.35-2.fc39.x86_64.rpm 9.7 MB/s | 864 kB 00:00 (71/153): which-2.21-40.fc39.x86_64.rpm 1.0 MB/s | 42 kB 00:00 (72/153): xz-5.4.4-1.fc39.x86_64.rpm 8.3 MB/s | 556 kB 00:00 (73/153): xz-libs-5.4.4-1.fc39.x86_64.rpm 1.8 MB/s | 108 kB 00:00 (74/153): zlib-1.2.13-4.fc39.x86_64.rpm 5.4 MB/s | 94 kB 00:00 (75/153): alternatives-1.26-1.fc39.x86_64.rpm 736 kB/s | 39 kB 00:00 (76/153): ansible-srpm-macros-1-12.fc39.noarch. 391 kB/s | 21 kB 00:00 (77/153): audit-libs-3.1.5-1.fc39.x86_64.rpm 2.5 MB/s | 123 kB 00:00 (78/153): zip-3.0-39.fc39.x86_64.rpm 1.6 MB/s | 266 kB 00:00 (79/153): binutils-gold-2.40-14.fc39.x86_64.rpm 3.5 MB/s | 795 kB 00:00 (80/153): coreutils-9.3-6.fc39.x86_64.rpm 3.5 MB/s | 1.1 MB 00:00 (81/153): binutils-2.40-14.fc39.x86_64.rpm 6.2 MB/s | 5.6 MB 00:00 (82/153): crypto-policies-20231204-1.git1e3a2e4 2.9 MB/s | 100 kB 00:00 (83/153): coreutils-common-9.3-6.fc39.x86_64.rp 5.2 MB/s | 2.1 MB 00:00 (84/153): debugedit-5.0-12.fc39.x86_64.rpm 2.9 MB/s | 79 kB 00:00 (85/153): curl-8.2.1-5.fc39.x86_64.rpm 6.9 MB/s | 344 kB 00:00 (86/153): elfutils-debuginfod-client-0.191-2.fc 1.8 MB/s | 38 kB 00:00 (87/153): elfutils-default-yama-scope-0.191-2.f 426 kB/s | 13 kB 00:00 (88/153): bash-5.2.26-1.fc39.x86_64.rpm 1.6 MB/s | 1.8 MB 00:01 (89/153): elfutils-libelf-0.191-2.fc39.x86_64.r 4.5 MB/s | 209 kB 00:00 (90/153): elfutils-0.191-2.fc39.x86_64.rpm 4.7 MB/s | 559 kB 00:00 (91/153): fedora-gpg-keys-39-2.noarch.rpm 1.2 MB/s | 130 kB 00:00 (92/153): fedora-release-common-39-36.noarch.rp 736 kB/s | 19 kB 00:00 (93/153): fedora-release-39-36.noarch.rpm 65 kB/s | 8.6 kB 00:00 (94/153): fedora-release-identity-basic-39-36.n 318 kB/s | 9.4 kB 00:00 (95/153): elfutils-libs-0.191-2.fc39.x86_64.rpm 911 kB/s | 263 kB 00:00 (96/153): findutils-4.9.0-6.fc39.x86_64.rpm 3.5 MB/s | 490 kB 00:00 (97/153): forge-srpm-macros-0.3.1-1.fc39.noarch 1.2 MB/s | 19 kB 00:00 (98/153): fedora-repos-39-2.noarch.rpm 27 kB/s | 9.3 kB 00:00 (99/153): glibc-common-2.38-18.fc39.x86_64.rpm 1.3 MB/s | 353 kB 00:00 (100/153): glibc-gconv-extra-2.38-18.fc39.x86_6 1.6 MB/s | 1.6 MB 00:01 (101/153): glibc-minimal-langpack-2.38-18.fc39. 1.5 MB/s | 73 kB 00:00 (102/153): go-srpm-macros-3.5.0-1.fc39.noarch.r 1.4 MB/s | 28 kB 00:00 (103/153): keyutils-libs-1.6.3-1.fc39.x86_64.rp 1.4 MB/s | 31 kB 00:00 (104/153): glibc-2.38-18.fc39.x86_64.rpm 1.2 MB/s | 2.2 MB 00:01 (105/153): libacl-2.3.1-9.fc39.x86_64.rpm 1.5 MB/s | 23 kB 00:00 (106/153): krb5-libs-1.21.3-1.fc39.x86_64.rpm 2.3 MB/s | 764 kB 00:00 (107/153): libarchive-3.7.1-2.fc39.x86_64.rpm 2.3 MB/s | 407 kB 00:00 (108/153): libblkid-2.39.4-1.fc39.x86_64.rpm 3.0 MB/s | 116 kB 00:00 (109/153): libcap-2.48-9.fc39.x86_64.rpm 2.2 MB/s | 68 kB 00:00 (110/153): gdb-minimal-14.2-2.fc39.x86_64.rpm 2.2 MB/s | 4.3 MB 00:01 (111/153): libeconf-0.5.2-2.fc39.x86_64.rpm 1.4 MB/s | 30 kB 00:00 (112/153): libfdisk-2.39.4-1.fc39.x86_64.rpm 2.7 MB/s | 161 kB 00:00 (113/153): libgcc-13.3.1-1.fc39.x86_64.rpm 2.1 MB/s | 118 kB 00:00 (114/153): libcurl-8.2.1-5.fc39.x86_64.rpm 2.6 MB/s | 322 kB 00:00 (115/153): libidn2-2.3.7-1.fc39.x86_64.rpm 2.6 MB/s | 119 kB 00:00 (116/153): libgomp-13.3.1-1.fc39.x86_64.rpm 3.6 MB/s | 328 kB 00:00 (117/153): libnghttp2-1.55.1-5.fc39.x86_64.rpm 2.0 MB/s | 75 kB 00:00 (118/153): libmount-2.39.4-1.fc39.x86_64.rpm 2.2 MB/s | 154 kB 00:00 (119/153): libssh-config-0.10.6-2.fc39.noarch.r 487 kB/s | 9.0 kB 00:00 (120/153): libsmartcols-2.39.4-1.fc39.x86_64.rp 1.0 MB/s | 67 kB 00:00 (121/153): libssh-0.10.6-2.fc39.x86_64.rpm 2.9 MB/s | 212 kB 00:00 (122/153): libuuid-2.39.4-1.fc39.x86_64.rpm 1.3 MB/s | 28 kB 00:00 (123/153): libtirpc-1.3.5-0.fc39.x86_64.rpm 1.2 MB/s | 94 kB 00:00 (124/153): lua-srpm-macros-1-13.fc39.noarch.rpm 577 kB/s | 8.7 kB 00:00 (125/153): ncurses-base-6.4-7.20230520.fc39.1.n 2.1 MB/s | 88 kB 00:00 (126/153): libzstd-1.5.6-1.fc39.x86_64.rpm 2.9 MB/s | 312 kB 00:00 (127/153): openldap-2.6.7-1.fc39.x86_64.rpm 3.1 MB/s | 254 kB 00:00 (128/153): libstdc++-13.3.1-1.fc39.x86_64.rpm 3.1 MB/s | 869 kB 00:00 (129/153): ncurses-libs-6.4-7.20230520.fc39.1.x 2.6 MB/s | 336 kB 00:00 (130/153): p11-kit-trust-0.25.5-1.fc39.x86_64.r 1.9 MB/s | 138 kB 00:00 (131/153): p11-kit-0.25.5-1.fc39.x86_64.rpm 3.6 MB/s | 515 kB 00:00 (132/153): pam-libs-1.5.3-3.fc39.x86_64.rpm 2.1 MB/s | 56 kB 00:00 (133/153): publicsuffix-list-dafsa-20240107-1.f 2.5 MB/s | 58 kB 00:00 (134/153): pyproject-srpm-macros-1.13.0-1.fc39. 677 kB/s | 13 kB 00:00 (135/153): python-srpm-macros-3.12-8.fc39.noarc 1.2 MB/s | 23 kB 00:00 (136/153): pam-1.5.3-3.fc39.x86_64.rpm 3.5 MB/s | 542 kB 00:00 (137/153): qt5-srpm-macros-5.15.14-2.fc39.noarc 581 kB/s | 8.9 kB 00:00 (138/153): qt6-srpm-macros-6.6.2-1.fc39.noarch. 482 kB/s | 8.9 kB 00:00 (139/153): redhat-rpm-config-266-1.fc39.noarch. 4.0 MB/s | 78 kB 00:00 (140/153): readline-8.2-6.fc39.x86_64.rpm 3.0 MB/s | 212 kB 00:00 (141/153): rpm-build-4.19.1.1-1.fc39.x86_64.rpm 2.5 MB/s | 78 kB 00:00 (142/153): rpm-build-libs-4.19.1.1-1.fc39.x86_6 3.1 MB/s | 95 kB 00:00 (143/153): rpm-4.19.1.1-1.fc39.x86_64.rpm 4.0 MB/s | 538 kB 00:00 (144/153): openssl-libs-3.1.4-3.fc39.x86_64.rpm 4.6 MB/s | 2.2 MB 00:00 (145/153): rpmautospec-rpm-macros-0.7.1-1.fc39. 672 kB/s | 10 kB 00:00 (146/153): rpm-libs-4.19.1.1-1.fc39.x86_64.rpm 3.9 MB/s | 312 kB 00:00 (147/153): rust-srpm-macros-26.3-1.fc39.noarch. 828 kB/s | 13 kB 00:00 (148/153): systemd-libs-254.16-1.fc39.x86_64.rp 2.2 MB/s | 683 kB 00:00 (149/153): rpm-sequoia-1.7.0-1.fc39.x86_64.rpm 2.3 MB/s | 904 kB 00:00 (150/153): util-linux-core-2.39.4-1.fc39.x86_64 1.3 MB/s | 507 kB 00:00 (151/153): shadow-utils-4.14.0-2.fc39.x86_64.rp 1.7 MB/s | 1.3 MB 00:00 (152/153): util-linux-2.39.4-1.fc39.x86_64.rpm 2.4 MB/s | 1.2 MB 00:00 (153/153): zstd-1.5.6-1.fc39.x86_64.rpm 1.9 MB/s | 479 kB 00:00 -------------------------------------------------------------------------------- Total 7.0 MB/s | 52 MB 00:07 fedora 1.6 MB/s | 1.6 kB 00:00 Importing GPG key 0x18B8E74C: Userid : "Fedora (39) " Fingerprint: E8F2 3996 F232 1864 0CB4 4CBE 75CF 5AC4 18B8 E74C From : /usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-39-primary Key imported successfully Running transaction check Transaction check succeeded. Running transaction test Transaction test succeeded. Running transaction Running scriptlet: filesystem-3.18-6.fc39.x86_64 1/1 Preparing : 1/1 Installing : libgcc-13.3.1-1.fc39.x86_64 1/153 Running scriptlet: libgcc-13.3.1-1.fc39.x86_64 1/153 Installing : crypto-policies-20231204-1.git1e3a2e4.fc39.noarc 2/153 Running scriptlet: crypto-policies-20231204-1.git1e3a2e4.fc39.noarc 2/153 Installing : fedora-release-identity-basic-39-36.noarch 3/153 Installing : fedora-gpg-keys-39-2.noarch 4/153 Installing : fedora-repos-39-2.noarch 5/153 Installing : fedora-release-common-39-36.noarch 6/153 Installing : fedora-release-39-36.noarch 7/153 Installing : setup-2.14.4-1.fc39.noarch 8/153 warning: /etc/hosts created as /etc/hosts.rpmnew Running scriptlet: setup-2.14.4-1.fc39.noarch 8/153 Installing : filesystem-3.18-6.fc39.x86_64 9/153 Installing : basesystem-11-18.fc39.noarch 10/153 Installing : rust-srpm-macros-26.3-1.fc39.noarch 11/153 Installing : qt6-srpm-macros-6.6.2-1.fc39.noarch 12/153 Installing : qt5-srpm-macros-5.15.14-2.fc39.noarch 13/153 Installing : publicsuffix-list-dafsa-20240107-1.fc39.noarch 14/153 Installing : ncurses-base-6.4-7.20230520.fc39.1.noarch 15/153 Installing : glibc-gconv-extra-2.38-18.fc39.x86_64 16/153 Running scriptlet: glibc-gconv-extra-2.38-18.fc39.x86_64 16/153 Installing : glibc-minimal-langpack-2.38-18.fc39.x86_64 17/153 Installing : glibc-common-2.38-18.fc39.x86_64 18/153 Running scriptlet: glibc-2.38-18.fc39.x86_64 19/153 Installing : glibc-2.38-18.fc39.x86_64 19/153 Running scriptlet: glibc-2.38-18.fc39.x86_64 19/153 Installing : ncurses-libs-6.4-7.20230520.fc39.1.x86_64 20/153 Installing : bash-5.2.26-1.fc39.x86_64 21/153 Running scriptlet: bash-5.2.26-1.fc39.x86_64 21/153 Installing : zlib-1.2.13-4.fc39.x86_64 22/153 Installing : xz-libs-5.4.4-1.fc39.x86_64 23/153 Installing : bzip2-libs-1.0.8-16.fc39.x86_64 24/153 Installing : popt-1.19-3.fc39.x86_64 25/153 Installing : libstdc++-13.3.1-1.fc39.x86_64 26/153 Installing : libuuid-2.39.4-1.fc39.x86_64 27/153 Installing : libzstd-1.5.6-1.fc39.x86_64 28/153 Installing : elfutils-libelf-0.191-2.fc39.x86_64 29/153 Installing : libblkid-2.39.4-1.fc39.x86_64 30/153 Installing : readline-8.2-6.fc39.x86_64 31/153 Installing : gmp-1:6.2.1-5.fc39.x86_64 32/153 Installing : libattr-2.5.1-8.fc39.x86_64 33/153 Installing : libacl-2.3.1-9.fc39.x86_64 34/153 Installing : libxcrypt-4.4.36-2.fc39.x86_64 35/153 Installing : libcap-2.48-9.fc39.x86_64 36/153 Installing : lz4-libs-1.9.4-4.fc39.x86_64 37/153 Installing : libeconf-0.5.2-2.fc39.x86_64 38/153 Installing : systemd-libs-254.16-1.fc39.x86_64 39/153 Installing : mpfr-4.2.0-3.fc39.x86_64 40/153 Installing : dwz-0.15-3.fc39.x86_64 41/153 Installing : unzip-6.0-62.fc39.x86_64 42/153 Installing : file-libs-5.44-5.fc39.x86_64 43/153 Installing : file-5.44-5.fc39.x86_64 44/153 Installing : jansson-2.13.1-7.fc39.x86_64 45/153 Installing : libcap-ng-0.8.3-8.fc39.x86_64 46/153 Installing : audit-libs-3.1.5-1.fc39.x86_64 47/153 Installing : pam-libs-1.5.3-3.fc39.x86_64 48/153 Installing : libcom_err-1.47.0-2.fc39.x86_64 49/153 Installing : libsepol-3.5-2.fc39.x86_64 50/153 Installing : libtasn1-4.19.0-3.fc39.x86_64 51/153 Installing : libunistring-1.1-5.fc39.x86_64 52/153 Installing : libidn2-2.3.7-1.fc39.x86_64 53/153 Installing : lua-libs-5.4.6-3.fc39.x86_64 54/153 Installing : alternatives-1.26-1.fc39.x86_64 55/153 Installing : libsmartcols-2.39.4-1.fc39.x86_64 56/153 Installing : libpsl-0.21.2-4.fc39.x86_64 57/153 Installing : zip-3.0-39.fc39.x86_64 58/153 Installing : zstd-1.5.6-1.fc39.x86_64 59/153 Installing : libfdisk-2.39.4-1.fc39.x86_64 60/153 Installing : bzip2-1.0.8-16.fc39.x86_64 61/153 Installing : libxml2-2.10.4-3.fc39.x86_64 62/153 Installing : sqlite-libs-3.42.0-7.fc39.x86_64 63/153 Installing : ed-1.19-4.fc39.x86_64 64/153 Installing : elfutils-default-yama-scope-0.191-2.fc39.noarch 65/153 Running scriptlet: elfutils-default-yama-scope-0.191-2.fc39.noarch 65/153 Installing : cpio-2.14-4.fc39.x86_64 66/153 Installing : diffutils-3.10-3.fc39.x86_64 67/153 Installing : gdbm-libs-1:1.23-4.fc39.x86_64 68/153 Installing : cyrus-sasl-lib-2.1.28-11.fc39.x86_64 69/153 Installing : libbrotli-1.1.0-1.fc39.x86_64 70/153 Installing : libdb-5.3.28-56.fc39.x86_64 71/153 Installing : libffi-3.4.4-4.fc39.x86_64 72/153 Installing : p11-kit-0.25.5-1.fc39.x86_64 73/153 Installing : p11-kit-trust-0.25.5-1.fc39.x86_64 74/153 Running scriptlet: p11-kit-trust-0.25.5-1.fc39.x86_64 74/153 Installing : libpkgconf-1.9.5-2.fc39.x86_64 75/153 Installing : pkgconf-1.9.5-2.fc39.x86_64 76/153 Installing : libsigsegv-2.14-5.fc39.x86_64 77/153 Installing : gawk-5.2.2-2.fc39.x86_64 78/153 Installing : libtool-ltdl-2.4.7-7.fc39.x86_64 79/153 Installing : libverto-0.3.2-6.fc39.x86_64 80/153 Installing : xxhash-libs-0.8.2-1.fc39.x86_64 81/153 Installing : keyutils-libs-1.6.3-1.fc39.x86_64 82/153 Installing : libgomp-13.3.1-1.fc39.x86_64 83/153 Installing : libnghttp2-1.55.1-5.fc39.x86_64 84/153 Installing : libssh-config-0.10.6-2.fc39.noarch 85/153 Installing : coreutils-common-9.3-6.fc39.x86_64 86/153 Installing : ansible-srpm-macros-1-12.fc39.noarch 87/153 Installing : pkgconf-m4-1.9.5-2.fc39.noarch 88/153 Installing : pkgconf-pkg-config-1.9.5-2.fc39.x86_64 89/153 Installing : perl-srpm-macros-1-51.fc39.noarch 90/153 Installing : pcre2-syntax-10.42-1.fc39.2.noarch 91/153 Installing : pcre2-10.42-1.fc39.2.x86_64 92/153 Installing : libselinux-3.5-5.fc39.x86_64 93/153 Installing : sed-4.8-14.fc39.x86_64 94/153 Installing : grep-3.11-3.fc39.x86_64 95/153 Installing : findutils-1:4.9.0-6.fc39.x86_64 96/153 Installing : xz-5.4.4-1.fc39.x86_64 97/153 Installing : libmount-2.39.4-1.fc39.x86_64 98/153 Installing : util-linux-core-2.39.4-1.fc39.x86_64 99/153 Installing : openssl-libs-1:3.1.4-3.fc39.x86_64 100/153 Installing : coreutils-9.3-6.fc39.x86_64 101/153 Running scriptlet: ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch 102/153 Installing : ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch 102/153 Running scriptlet: ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch 102/153 Installing : krb5-libs-1.21.3-1.fc39.x86_64 103/153 Installing : libtirpc-1.3.5-0.fc39.x86_64 104/153 Running scriptlet: authselect-libs-1.4.3-1.fc39.x86_64 105/153 Installing : authselect-libs-1.4.3-1.fc39.x86_64 105/153 Installing : gzip-1.12-6.fc39.x86_64 106/153 Installing : libarchive-3.7.1-2.fc39.x86_64 107/153 Installing : cracklib-2.9.11-2.fc39.x86_64 108/153 Installing : libpwquality-1.4.5-6.fc39.x86_64 109/153 Installing : authselect-1.4.3-1.fc39.x86_64 110/153 Installing : libnsl2-2.0.0-6.fc39.x86_64 111/153 Installing : pam-1.5.3-3.fc39.x86_64 112/153 Installing : libssh-0.10.6-2.fc39.x86_64 113/153 Installing : libevent-2.1.12-9.fc39.x86_64 114/153 Installing : openldap-2.6.7-1.fc39.x86_64 115/153 Installing : libcurl-8.2.1-5.fc39.x86_64 116/153 Installing : elfutils-libs-0.191-2.fc39.x86_64 117/153 Installing : elfutils-debuginfod-client-0.191-2.fc39.x86_64 118/153 Installing : binutils-gold-2.40-14.fc39.x86_64 119/153 Running scriptlet: binutils-gold-2.40-14.fc39.x86_64 119/153 Installing : binutils-2.40-14.fc39.x86_64 120/153 Running scriptlet: binutils-2.40-14.fc39.x86_64 120/153 Installing : elfutils-0.191-2.fc39.x86_64 121/153 Installing : gdb-minimal-14.2-2.fc39.x86_64 122/153 Installing : debugedit-5.0-12.fc39.x86_64 123/153 Installing : curl-8.2.1-5.fc39.x86_64 124/153 Installing : rpm-sequoia-1.7.0-1.fc39.x86_64 125/153 Installing : rpm-libs-4.19.1.1-1.fc39.x86_64 126/153 Running scriptlet: rpm-4.19.1.1-1.fc39.x86_64 127/153 Installing : rpm-4.19.1.1-1.fc39.x86_64 127/153 Installing : efi-srpm-macros-5-9.fc39.noarch 128/153 Installing : lua-srpm-macros-1-13.fc39.noarch 129/153 Installing : rpmautospec-rpm-macros-0.7.1-1.fc39.noarch 130/153 Installing : rpm-build-libs-4.19.1.1-1.fc39.x86_64 131/153 Installing : libsemanage-3.5-4.fc39.x86_64 132/153 Installing : shadow-utils-2:4.14.0-2.fc39.x86_64 133/153 Running scriptlet: libutempter-1.2.1-10.fc39.x86_64 134/153 Installing : libutempter-1.2.1-10.fc39.x86_64 134/153 Installing : patch-2.7.6-22.fc39.x86_64 135/153 Installing : tar-2:1.35-2.fc39.x86_64 136/153 Installing : package-notes-srpm-macros-0.5-9.fc39.noarch 137/153 Installing : openblas-srpm-macros-2-14.fc39.noarch 138/153 Installing : ocaml-srpm-macros-8-2.fc39.noarch 139/153 Installing : kernel-srpm-macros-1.0-20.fc39.noarch 140/153 Installing : gnat-srpm-macros-6-3.fc39.noarch 141/153 Installing : ghc-srpm-macros-1.6.1-2.fc39.noarch 142/153 Installing : fpc-srpm-macros-1.3-8.fc39.noarch 143/153 Installing : fonts-srpm-macros-1:2.0.5-12.fc39.noarch 144/153 Installing : forge-srpm-macros-0.3.1-1.fc39.noarch 145/153 Installing : go-srpm-macros-3.5.0-1.fc39.noarch 146/153 Installing : python-srpm-macros-3.12-8.fc39.noarch 147/153 Installing : redhat-rpm-config-266-1.fc39.noarch 148/153 Installing : rpm-build-4.19.1.1-1.fc39.x86_64 149/153 Installing : pyproject-srpm-macros-1.13.0-1.fc39.noarch 150/153 Installing : util-linux-2.39.4-1.fc39.x86_64 151/153 Running scriptlet: util-linux-2.39.4-1.fc39.x86_64 151/153 Installing : which-2.21-40.fc39.x86_64 152/153 Installing : info-7.0.3-3.fc39.x86_64 153/153 Running scriptlet: filesystem-3.18-6.fc39.x86_64 153/153 Running scriptlet: ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch 153/153 Running scriptlet: authselect-libs-1.4.3-1.fc39.x86_64 153/153 Running scriptlet: rpm-4.19.1.1-1.fc39.x86_64 153/153 Running scriptlet: info-7.0.3-3.fc39.x86_64 153/153 Verifying : authselect-1.4.3-1.fc39.x86_64 1/153 Verifying : authselect-libs-1.4.3-1.fc39.x86_64 2/153 Verifying : basesystem-11-18.fc39.noarch 3/153 Verifying : bzip2-1.0.8-16.fc39.x86_64 4/153 Verifying : bzip2-libs-1.0.8-16.fc39.x86_64 5/153 Verifying : ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch 6/153 Verifying : cpio-2.14-4.fc39.x86_64 7/153 Verifying : cracklib-2.9.11-2.fc39.x86_64 8/153 Verifying : cyrus-sasl-lib-2.1.28-11.fc39.x86_64 9/153 Verifying : diffutils-3.10-3.fc39.x86_64 10/153 Verifying : dwz-0.15-3.fc39.x86_64 11/153 Verifying : ed-1.19-4.fc39.x86_64 12/153 Verifying : efi-srpm-macros-5-9.fc39.noarch 13/153 Verifying : file-5.44-5.fc39.x86_64 14/153 Verifying : file-libs-5.44-5.fc39.x86_64 15/153 Verifying : filesystem-3.18-6.fc39.x86_64 16/153 Verifying : fonts-srpm-macros-1:2.0.5-12.fc39.noarch 17/153 Verifying : fpc-srpm-macros-1.3-8.fc39.noarch 18/153 Verifying : gawk-5.2.2-2.fc39.x86_64 19/153 Verifying : gdbm-libs-1:1.23-4.fc39.x86_64 20/153 Verifying : ghc-srpm-macros-1.6.1-2.fc39.noarch 21/153 Verifying : gmp-1:6.2.1-5.fc39.x86_64 22/153 Verifying : gnat-srpm-macros-6-3.fc39.noarch 23/153 Verifying : grep-3.11-3.fc39.x86_64 24/153 Verifying : gzip-1.12-6.fc39.x86_64 25/153 Verifying : info-7.0.3-3.fc39.x86_64 26/153 Verifying : jansson-2.13.1-7.fc39.x86_64 27/153 Verifying : kernel-srpm-macros-1.0-20.fc39.noarch 28/153 Verifying : libattr-2.5.1-8.fc39.x86_64 29/153 Verifying : libbrotli-1.1.0-1.fc39.x86_64 30/153 Verifying : libcap-ng-0.8.3-8.fc39.x86_64 31/153 Verifying : libcom_err-1.47.0-2.fc39.x86_64 32/153 Verifying : libdb-5.3.28-56.fc39.x86_64 33/153 Verifying : libevent-2.1.12-9.fc39.x86_64 34/153 Verifying : libffi-3.4.4-4.fc39.x86_64 35/153 Verifying : libnsl2-2.0.0-6.fc39.x86_64 36/153 Verifying : libpkgconf-1.9.5-2.fc39.x86_64 37/153 Verifying : libpsl-0.21.2-4.fc39.x86_64 38/153 Verifying : libpwquality-1.4.5-6.fc39.x86_64 39/153 Verifying : libselinux-3.5-5.fc39.x86_64 40/153 Verifying : libsemanage-3.5-4.fc39.x86_64 41/153 Verifying : libsepol-3.5-2.fc39.x86_64 42/153 Verifying : libsigsegv-2.14-5.fc39.x86_64 43/153 Verifying : libtasn1-4.19.0-3.fc39.x86_64 44/153 Verifying : libtool-ltdl-2.4.7-7.fc39.x86_64 45/153 Verifying : libunistring-1.1-5.fc39.x86_64 46/153 Verifying : libutempter-1.2.1-10.fc39.x86_64 47/153 Verifying : libverto-0.3.2-6.fc39.x86_64 48/153 Verifying : libxcrypt-4.4.36-2.fc39.x86_64 49/153 Verifying : libxml2-2.10.4-3.fc39.x86_64 50/153 Verifying : lua-libs-5.4.6-3.fc39.x86_64 51/153 Verifying : lz4-libs-1.9.4-4.fc39.x86_64 52/153 Verifying : mpfr-4.2.0-3.fc39.x86_64 53/153 Verifying : ocaml-srpm-macros-8-2.fc39.noarch 54/153 Verifying : openblas-srpm-macros-2-14.fc39.noarch 55/153 Verifying : package-notes-srpm-macros-0.5-9.fc39.noarch 56/153 Verifying : patch-2.7.6-22.fc39.x86_64 57/153 Verifying : pcre2-10.42-1.fc39.2.x86_64 58/153 Verifying : pcre2-syntax-10.42-1.fc39.2.noarch 59/153 Verifying : perl-srpm-macros-1-51.fc39.noarch 60/153 Verifying : pkgconf-1.9.5-2.fc39.x86_64 61/153 Verifying : pkgconf-m4-1.9.5-2.fc39.noarch 62/153 Verifying : pkgconf-pkg-config-1.9.5-2.fc39.x86_64 63/153 Verifying : popt-1.19-3.fc39.x86_64 64/153 Verifying : sed-4.8-14.fc39.x86_64 65/153 Verifying : setup-2.14.4-1.fc39.noarch 66/153 Verifying : sqlite-libs-3.42.0-7.fc39.x86_64 67/153 Verifying : tar-2:1.35-2.fc39.x86_64 68/153 Verifying : unzip-6.0-62.fc39.x86_64 69/153 Verifying : which-2.21-40.fc39.x86_64 70/153 Verifying : xxhash-libs-0.8.2-1.fc39.x86_64 71/153 Verifying : xz-5.4.4-1.fc39.x86_64 72/153 Verifying : xz-libs-5.4.4-1.fc39.x86_64 73/153 Verifying : zip-3.0-39.fc39.x86_64 74/153 Verifying : zlib-1.2.13-4.fc39.x86_64 75/153 Verifying : alternatives-1.26-1.fc39.x86_64 76/153 Verifying : ansible-srpm-macros-1-12.fc39.noarch 77/153 Verifying : audit-libs-3.1.5-1.fc39.x86_64 78/153 Verifying : bash-5.2.26-1.fc39.x86_64 79/153 Verifying : binutils-2.40-14.fc39.x86_64 80/153 Verifying : binutils-gold-2.40-14.fc39.x86_64 81/153 Verifying : coreutils-9.3-6.fc39.x86_64 82/153 Verifying : coreutils-common-9.3-6.fc39.x86_64 83/153 Verifying : crypto-policies-20231204-1.git1e3a2e4.fc39.noarc 84/153 Verifying : curl-8.2.1-5.fc39.x86_64 85/153 Verifying : debugedit-5.0-12.fc39.x86_64 86/153 Verifying : elfutils-0.191-2.fc39.x86_64 87/153 Verifying : elfutils-debuginfod-client-0.191-2.fc39.x86_64 88/153 Verifying : elfutils-default-yama-scope-0.191-2.fc39.noarch 89/153 Verifying : elfutils-libelf-0.191-2.fc39.x86_64 90/153 Verifying : elfutils-libs-0.191-2.fc39.x86_64 91/153 Verifying : fedora-gpg-keys-39-2.noarch 92/153 Verifying : fedora-release-39-36.noarch 93/153 Verifying : fedora-release-common-39-36.noarch 94/153 Verifying : fedora-release-identity-basic-39-36.noarch 95/153 Verifying : fedora-repos-39-2.noarch 96/153 Verifying : findutils-1:4.9.0-6.fc39.x86_64 97/153 Verifying : forge-srpm-macros-0.3.1-1.fc39.noarch 98/153 Verifying : gdb-minimal-14.2-2.fc39.x86_64 99/153 Verifying : glibc-2.38-18.fc39.x86_64 100/153 Verifying : glibc-common-2.38-18.fc39.x86_64 101/153 Verifying : glibc-gconv-extra-2.38-18.fc39.x86_64 102/153 Verifying : glibc-minimal-langpack-2.38-18.fc39.x86_64 103/153 Verifying : go-srpm-macros-3.5.0-1.fc39.noarch 104/153 Verifying : keyutils-libs-1.6.3-1.fc39.x86_64 105/153 Verifying : krb5-libs-1.21.3-1.fc39.x86_64 106/153 Verifying : libacl-2.3.1-9.fc39.x86_64 107/153 Verifying : libarchive-3.7.1-2.fc39.x86_64 108/153 Verifying : libblkid-2.39.4-1.fc39.x86_64 109/153 Verifying : libcap-2.48-9.fc39.x86_64 110/153 Verifying : libcurl-8.2.1-5.fc39.x86_64 111/153 Verifying : libeconf-0.5.2-2.fc39.x86_64 112/153 Verifying : libfdisk-2.39.4-1.fc39.x86_64 113/153 Verifying : libgcc-13.3.1-1.fc39.x86_64 114/153 Verifying : libgomp-13.3.1-1.fc39.x86_64 115/153 Verifying : libidn2-2.3.7-1.fc39.x86_64 116/153 Verifying : libmount-2.39.4-1.fc39.x86_64 117/153 Verifying : libnghttp2-1.55.1-5.fc39.x86_64 118/153 Verifying : libsmartcols-2.39.4-1.fc39.x86_64 119/153 Verifying : libssh-0.10.6-2.fc39.x86_64 120/153 Verifying : libssh-config-0.10.6-2.fc39.noarch 121/153 Verifying : libstdc++-13.3.1-1.fc39.x86_64 122/153 Verifying : libtirpc-1.3.5-0.fc39.x86_64 123/153 Verifying : libuuid-2.39.4-1.fc39.x86_64 124/153 Verifying : libzstd-1.5.6-1.fc39.x86_64 125/153 Verifying : lua-srpm-macros-1-13.fc39.noarch 126/153 Verifying : ncurses-base-6.4-7.20230520.fc39.1.noarch 127/153 Verifying : ncurses-libs-6.4-7.20230520.fc39.1.x86_64 128/153 Verifying : openldap-2.6.7-1.fc39.x86_64 129/153 Verifying : openssl-libs-1:3.1.4-3.fc39.x86_64 130/153 Verifying : p11-kit-0.25.5-1.fc39.x86_64 131/153 Verifying : p11-kit-trust-0.25.5-1.fc39.x86_64 132/153 Verifying : pam-1.5.3-3.fc39.x86_64 133/153 Verifying : pam-libs-1.5.3-3.fc39.x86_64 134/153 Verifying : publicsuffix-list-dafsa-20240107-1.fc39.noarch 135/153 Verifying : pyproject-srpm-macros-1.13.0-1.fc39.noarch 136/153 Verifying : python-srpm-macros-3.12-8.fc39.noarch 137/153 Verifying : qt5-srpm-macros-5.15.14-2.fc39.noarch 138/153 Verifying : qt6-srpm-macros-6.6.2-1.fc39.noarch 139/153 Verifying : readline-8.2-6.fc39.x86_64 140/153 Verifying : redhat-rpm-config-266-1.fc39.noarch 141/153 Verifying : rpm-4.19.1.1-1.fc39.x86_64 142/153 Verifying : rpm-build-4.19.1.1-1.fc39.x86_64 143/153 Verifying : rpm-build-libs-4.19.1.1-1.fc39.x86_64 144/153 Verifying : rpm-libs-4.19.1.1-1.fc39.x86_64 145/153 Verifying : rpm-sequoia-1.7.0-1.fc39.x86_64 146/153 Verifying : rpmautospec-rpm-macros-0.7.1-1.fc39.noarch 147/153 Verifying : rust-srpm-macros-26.3-1.fc39.noarch 148/153 Verifying : shadow-utils-2:4.14.0-2.fc39.x86_64 149/153 Verifying : systemd-libs-254.16-1.fc39.x86_64 150/153 Verifying : util-linux-2.39.4-1.fc39.x86_64 151/153 Verifying : util-linux-core-2.39.4-1.fc39.x86_64 152/153 Verifying : zstd-1.5.6-1.fc39.x86_64 153/153 Installed products updated. Installed: alternatives-1.26-1.fc39.x86_64 ansible-srpm-macros-1-12.fc39.noarch audit-libs-3.1.5-1.fc39.x86_64 authselect-1.4.3-1.fc39.x86_64 authselect-libs-1.4.3-1.fc39.x86_64 basesystem-11-18.fc39.noarch bash-5.2.26-1.fc39.x86_64 binutils-2.40-14.fc39.x86_64 binutils-gold-2.40-14.fc39.x86_64 bzip2-1.0.8-16.fc39.x86_64 bzip2-libs-1.0.8-16.fc39.x86_64 ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch coreutils-9.3-6.fc39.x86_64 coreutils-common-9.3-6.fc39.x86_64 cpio-2.14-4.fc39.x86_64 cracklib-2.9.11-2.fc39.x86_64 crypto-policies-20231204-1.git1e3a2e4.fc39.noarch curl-8.2.1-5.fc39.x86_64 cyrus-sasl-lib-2.1.28-11.fc39.x86_64 debugedit-5.0-12.fc39.x86_64 diffutils-3.10-3.fc39.x86_64 dwz-0.15-3.fc39.x86_64 ed-1.19-4.fc39.x86_64 efi-srpm-macros-5-9.fc39.noarch elfutils-0.191-2.fc39.x86_64 elfutils-debuginfod-client-0.191-2.fc39.x86_64 elfutils-default-yama-scope-0.191-2.fc39.noarch elfutils-libelf-0.191-2.fc39.x86_64 elfutils-libs-0.191-2.fc39.x86_64 fedora-gpg-keys-39-2.noarch fedora-release-39-36.noarch fedora-release-common-39-36.noarch fedora-release-identity-basic-39-36.noarch fedora-repos-39-2.noarch file-5.44-5.fc39.x86_64 file-libs-5.44-5.fc39.x86_64 filesystem-3.18-6.fc39.x86_64 findutils-1:4.9.0-6.fc39.x86_64 fonts-srpm-macros-1:2.0.5-12.fc39.noarch forge-srpm-macros-0.3.1-1.fc39.noarch fpc-srpm-macros-1.3-8.fc39.noarch gawk-5.2.2-2.fc39.x86_64 gdb-minimal-14.2-2.fc39.x86_64 gdbm-libs-1:1.23-4.fc39.x86_64 ghc-srpm-macros-1.6.1-2.fc39.noarch glibc-2.38-18.fc39.x86_64 glibc-common-2.38-18.fc39.x86_64 glibc-gconv-extra-2.38-18.fc39.x86_64 glibc-minimal-langpack-2.38-18.fc39.x86_64 gmp-1:6.2.1-5.fc39.x86_64 gnat-srpm-macros-6-3.fc39.noarch go-srpm-macros-3.5.0-1.fc39.noarch grep-3.11-3.fc39.x86_64 gzip-1.12-6.fc39.x86_64 info-7.0.3-3.fc39.x86_64 jansson-2.13.1-7.fc39.x86_64 kernel-srpm-macros-1.0-20.fc39.noarch keyutils-libs-1.6.3-1.fc39.x86_64 krb5-libs-1.21.3-1.fc39.x86_64 libacl-2.3.1-9.fc39.x86_64 libarchive-3.7.1-2.fc39.x86_64 libattr-2.5.1-8.fc39.x86_64 libblkid-2.39.4-1.fc39.x86_64 libbrotli-1.1.0-1.fc39.x86_64 libcap-2.48-9.fc39.x86_64 libcap-ng-0.8.3-8.fc39.x86_64 libcom_err-1.47.0-2.fc39.x86_64 libcurl-8.2.1-5.fc39.x86_64 libdb-5.3.28-56.fc39.x86_64 libeconf-0.5.2-2.fc39.x86_64 libevent-2.1.12-9.fc39.x86_64 libfdisk-2.39.4-1.fc39.x86_64 libffi-3.4.4-4.fc39.x86_64 libgcc-13.3.1-1.fc39.x86_64 libgomp-13.3.1-1.fc39.x86_64 libidn2-2.3.7-1.fc39.x86_64 libmount-2.39.4-1.fc39.x86_64 libnghttp2-1.55.1-5.fc39.x86_64 libnsl2-2.0.0-6.fc39.x86_64 libpkgconf-1.9.5-2.fc39.x86_64 libpsl-0.21.2-4.fc39.x86_64 libpwquality-1.4.5-6.fc39.x86_64 libselinux-3.5-5.fc39.x86_64 libsemanage-3.5-4.fc39.x86_64 libsepol-3.5-2.fc39.x86_64 libsigsegv-2.14-5.fc39.x86_64 libsmartcols-2.39.4-1.fc39.x86_64 libssh-0.10.6-2.fc39.x86_64 libssh-config-0.10.6-2.fc39.noarch libstdc++-13.3.1-1.fc39.x86_64 libtasn1-4.19.0-3.fc39.x86_64 libtirpc-1.3.5-0.fc39.x86_64 libtool-ltdl-2.4.7-7.fc39.x86_64 libunistring-1.1-5.fc39.x86_64 libutempter-1.2.1-10.fc39.x86_64 libuuid-2.39.4-1.fc39.x86_64 libverto-0.3.2-6.fc39.x86_64 libxcrypt-4.4.36-2.fc39.x86_64 libxml2-2.10.4-3.fc39.x86_64 libzstd-1.5.6-1.fc39.x86_64 lua-libs-5.4.6-3.fc39.x86_64 lua-srpm-macros-1-13.fc39.noarch lz4-libs-1.9.4-4.fc39.x86_64 mpfr-4.2.0-3.fc39.x86_64 ncurses-base-6.4-7.20230520.fc39.1.noarch ncurses-libs-6.4-7.20230520.fc39.1.x86_64 ocaml-srpm-macros-8-2.fc39.noarch openblas-srpm-macros-2-14.fc39.noarch openldap-2.6.7-1.fc39.x86_64 openssl-libs-1:3.1.4-3.fc39.x86_64 p11-kit-0.25.5-1.fc39.x86_64 p11-kit-trust-0.25.5-1.fc39.x86_64 package-notes-srpm-macros-0.5-9.fc39.noarch pam-1.5.3-3.fc39.x86_64 pam-libs-1.5.3-3.fc39.x86_64 patch-2.7.6-22.fc39.x86_64 pcre2-10.42-1.fc39.2.x86_64 pcre2-syntax-10.42-1.fc39.2.noarch perl-srpm-macros-1-51.fc39.noarch pkgconf-1.9.5-2.fc39.x86_64 pkgconf-m4-1.9.5-2.fc39.noarch pkgconf-pkg-config-1.9.5-2.fc39.x86_64 popt-1.19-3.fc39.x86_64 publicsuffix-list-dafsa-20240107-1.fc39.noarch pyproject-srpm-macros-1.13.0-1.fc39.noarch python-srpm-macros-3.12-8.fc39.noarch qt5-srpm-macros-5.15.14-2.fc39.noarch qt6-srpm-macros-6.6.2-1.fc39.noarch readline-8.2-6.fc39.x86_64 redhat-rpm-config-266-1.fc39.noarch rpm-4.19.1.1-1.fc39.x86_64 rpm-build-4.19.1.1-1.fc39.x86_64 rpm-build-libs-4.19.1.1-1.fc39.x86_64 rpm-libs-4.19.1.1-1.fc39.x86_64 rpm-sequoia-1.7.0-1.fc39.x86_64 rpmautospec-rpm-macros-0.7.1-1.fc39.noarch rust-srpm-macros-26.3-1.fc39.noarch sed-4.8-14.fc39.x86_64 setup-2.14.4-1.fc39.noarch shadow-utils-2:4.14.0-2.fc39.x86_64 sqlite-libs-3.42.0-7.fc39.x86_64 systemd-libs-254.16-1.fc39.x86_64 tar-2:1.35-2.fc39.x86_64 unzip-6.0-62.fc39.x86_64 util-linux-2.39.4-1.fc39.x86_64 util-linux-core-2.39.4-1.fc39.x86_64 which-2.21-40.fc39.x86_64 xxhash-libs-0.8.2-1.fc39.x86_64 xz-5.4.4-1.fc39.x86_64 xz-libs-5.4.4-1.fc39.x86_64 zip-3.0-39.fc39.x86_64 zlib-1.2.13-4.fc39.x86_64 zstd-1.5.6-1.fc39.x86_64 Complete! Finish: installing minimal buildroot with dnf Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: INFO: alternatives-1.26-1.fc39.x86_64 ansible-srpm-macros-1-12.fc39.noarch audit-libs-3.1.5-1.fc39.x86_64 authselect-1.4.3-1.fc39.x86_64 authselect-libs-1.4.3-1.fc39.x86_64 basesystem-11-18.fc39.noarch bash-5.2.26-1.fc39.x86_64 binutils-2.40-14.fc39.x86_64 binutils-gold-2.40-14.fc39.x86_64 bzip2-1.0.8-16.fc39.x86_64 bzip2-libs-1.0.8-16.fc39.x86_64 ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch coreutils-9.3-6.fc39.x86_64 coreutils-common-9.3-6.fc39.x86_64 cpio-2.14-4.fc39.x86_64 cracklib-2.9.11-2.fc39.x86_64 crypto-policies-20231204-1.git1e3a2e4.fc39.noarch curl-8.2.1-5.fc39.x86_64 cyrus-sasl-lib-2.1.28-11.fc39.x86_64 debugedit-5.0-12.fc39.x86_64 diffutils-3.10-3.fc39.x86_64 dwz-0.15-3.fc39.x86_64 ed-1.19-4.fc39.x86_64 efi-srpm-macros-5-9.fc39.noarch elfutils-0.191-2.fc39.x86_64 elfutils-debuginfod-client-0.191-2.fc39.x86_64 elfutils-default-yama-scope-0.191-2.fc39.noarch elfutils-libelf-0.191-2.fc39.x86_64 elfutils-libs-0.191-2.fc39.x86_64 fedora-gpg-keys-39-2.noarch fedora-release-39-36.noarch fedora-release-common-39-36.noarch fedora-release-identity-basic-39-36.noarch fedora-repos-39-2.noarch file-5.44-5.fc39.x86_64 file-libs-5.44-5.fc39.x86_64 filesystem-3.18-6.fc39.x86_64 findutils-4.9.0-6.fc39.x86_64 fonts-srpm-macros-2.0.5-12.fc39.noarch forge-srpm-macros-0.3.1-1.fc39.noarch fpc-srpm-macros-1.3-8.fc39.noarch gawk-5.2.2-2.fc39.x86_64 gdb-minimal-14.2-2.fc39.x86_64 gdbm-libs-1.23-4.fc39.x86_64 ghc-srpm-macros-1.6.1-2.fc39.noarch glibc-2.38-18.fc39.x86_64 glibc-common-2.38-18.fc39.x86_64 glibc-gconv-extra-2.38-18.fc39.x86_64 glibc-minimal-langpack-2.38-18.fc39.x86_64 gmp-6.2.1-5.fc39.x86_64 gnat-srpm-macros-6-3.fc39.noarch go-srpm-macros-3.5.0-1.fc39.noarch gpg-pubkey-18b8e74c-62f2920f grep-3.11-3.fc39.x86_64 gzip-1.12-6.fc39.x86_64 info-7.0.3-3.fc39.x86_64 jansson-2.13.1-7.fc39.x86_64 kernel-srpm-macros-1.0-20.fc39.noarch keyutils-libs-1.6.3-1.fc39.x86_64 krb5-libs-1.21.3-1.fc39.x86_64 libacl-2.3.1-9.fc39.x86_64 libarchive-3.7.1-2.fc39.x86_64 libattr-2.5.1-8.fc39.x86_64 libblkid-2.39.4-1.fc39.x86_64 libbrotli-1.1.0-1.fc39.x86_64 libcap-2.48-9.fc39.x86_64 libcap-ng-0.8.3-8.fc39.x86_64 libcom_err-1.47.0-2.fc39.x86_64 libcurl-8.2.1-5.fc39.x86_64 libdb-5.3.28-56.fc39.x86_64 libeconf-0.5.2-2.fc39.x86_64 libevent-2.1.12-9.fc39.x86_64 libfdisk-2.39.4-1.fc39.x86_64 libffi-3.4.4-4.fc39.x86_64 libgcc-13.3.1-1.fc39.x86_64 libgomp-13.3.1-1.fc39.x86_64 libidn2-2.3.7-1.fc39.x86_64 libmount-2.39.4-1.fc39.x86_64 libnghttp2-1.55.1-5.fc39.x86_64 libnsl2-2.0.0-6.fc39.x86_64 libpkgconf-1.9.5-2.fc39.x86_64 libpsl-0.21.2-4.fc39.x86_64 libpwquality-1.4.5-6.fc39.x86_64 libselinux-3.5-5.fc39.x86_64 libsemanage-3.5-4.fc39.x86_64 libsepol-3.5-2.fc39.x86_64 libsigsegv-2.14-5.fc39.x86_64 libsmartcols-2.39.4-1.fc39.x86_64 libssh-0.10.6-2.fc39.x86_64 libssh-config-0.10.6-2.fc39.noarch libstdc++-13.3.1-1.fc39.x86_64 libtasn1-4.19.0-3.fc39.x86_64 libtirpc-1.3.5-0.fc39.x86_64 libtool-ltdl-2.4.7-7.fc39.x86_64 libunistring-1.1-5.fc39.x86_64 libutempter-1.2.1-10.fc39.x86_64 libuuid-2.39.4-1.fc39.x86_64 libverto-0.3.2-6.fc39.x86_64 libxcrypt-4.4.36-2.fc39.x86_64 libxml2-2.10.4-3.fc39.x86_64 libzstd-1.5.6-1.fc39.x86_64 lua-libs-5.4.6-3.fc39.x86_64 lua-srpm-macros-1-13.fc39.noarch lz4-libs-1.9.4-4.fc39.x86_64 mpfr-4.2.0-3.fc39.x86_64 ncurses-base-6.4-7.20230520.fc39.1.noarch ncurses-libs-6.4-7.20230520.fc39.1.x86_64 ocaml-srpm-macros-8-2.fc39.noarch openblas-srpm-macros-2-14.fc39.noarch openldap-2.6.7-1.fc39.x86_64 openssl-libs-3.1.4-3.fc39.x86_64 p11-kit-0.25.5-1.fc39.x86_64 p11-kit-trust-0.25.5-1.fc39.x86_64 package-notes-srpm-macros-0.5-9.fc39.noarch pam-1.5.3-3.fc39.x86_64 pam-libs-1.5.3-3.fc39.x86_64 patch-2.7.6-22.fc39.x86_64 pcre2-10.42-1.fc39.2.x86_64 pcre2-syntax-10.42-1.fc39.2.noarch perl-srpm-macros-1-51.fc39.noarch pkgconf-1.9.5-2.fc39.x86_64 pkgconf-m4-1.9.5-2.fc39.noarch pkgconf-pkg-config-1.9.5-2.fc39.x86_64 popt-1.19-3.fc39.x86_64 publicsuffix-list-dafsa-20240107-1.fc39.noarch pyproject-srpm-macros-1.13.0-1.fc39.noarch python-srpm-macros-3.12-8.fc39.noarch qt5-srpm-macros-5.15.14-2.fc39.noarch qt6-srpm-macros-6.6.2-1.fc39.noarch readline-8.2-6.fc39.x86_64 redhat-rpm-config-266-1.fc39.noarch rpm-4.19.1.1-1.fc39.x86_64 rpm-build-4.19.1.1-1.fc39.x86_64 rpm-build-libs-4.19.1.1-1.fc39.x86_64 rpm-libs-4.19.1.1-1.fc39.x86_64 rpm-sequoia-1.7.0-1.fc39.x86_64 rpmautospec-rpm-macros-0.7.1-1.fc39.noarch rust-srpm-macros-26.3-1.fc39.noarch sed-4.8-14.fc39.x86_64 setup-2.14.4-1.fc39.noarch shadow-utils-4.14.0-2.fc39.x86_64 sqlite-libs-3.42.0-7.fc39.x86_64 systemd-libs-254.16-1.fc39.x86_64 tar-1.35-2.fc39.x86_64 unzip-6.0-62.fc39.x86_64 util-linux-2.39.4-1.fc39.x86_64 util-linux-core-2.39.4-1.fc39.x86_64 which-2.21-40.fc39.x86_64 xxhash-libs-0.8.2-1.fc39.x86_64 xz-5.4.4-1.fc39.x86_64 xz-libs-5.4.4-1.fc39.x86_64 zip-3.0-39.fc39.x86_64 zlib-1.2.13-4.fc39.x86_64 zstd-1.5.6-1.fc39.x86_64 Start: buildsrpm Start: rpmbuild -bs warning: source_date_epoch_from_changelog set but %changelog is missing Building target platforms: x86_64 Building for target x86_64 Wrote: /builddir/build/SRPMS/R-CRAN-adelie-1.0.2-1.fc39.copr7975920.src.rpm RPM build warnings: source_date_epoch_from_changelog set but %changelog is missing Finish: rpmbuild -bs cp: preserving permissions for ‘/var/lib/copr-rpmbuild/results/chroot_scan/var/lib/mock/fedora-39-x86_64-1725413460.725143/root/var/log’: No such file or directory INFO: chroot_scan: 3 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-39-x86_64-1725413460.725143/root/var/log/dnf.log /var/lib/mock/fedora-39-x86_64-1725413460.725143/root/var/log/dnf.librepo.log /var/lib/mock/fedora-39-x86_64-1725413460.725143/root/var/log/dnf.rpm.log Finish: buildsrpm INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-_94nmknt/R-CRAN-adelie/R-CRAN-adelie.spec) Config(child) 1 minutes 19 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot INFO: Start(/var/lib/copr-rpmbuild/results/R-CRAN-adelie-1.0.2-1.fc39.copr7975920.src.rpm) Config(fedora-39-x86_64) Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-39-x86_64-1725413460.725143/root. INFO: calling preinit hooks INFO: enabled root cache Start: unpacking root cache Finish: unpacking root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Buildroot is handled by package management from host and used with --installroot: rpm-4.19.1.1-1.fc39.x86_64 rpm-sequoia-1.6.0-1.fc39.x86_64 python3-dnf-4.21.0-1.fc39.noarch python3-dnf-plugins-core-4.8.0-1.fc39.noarch yum-4.21.0-1.fc39.noarch dnf5-5.1.17-2.fc39.x86_64 dnf5-plugins-5.1.17-2.fc39.x86_64 Finish: chroot init Start: build phase for R-CRAN-adelie-1.0.2-1.fc39.copr7975920.src.rpm Start: build setup for R-CRAN-adelie-1.0.2-1.fc39.copr7975920.src.rpm warning: source_date_epoch_from_changelog set but %changelog is missing Building target platforms: x86_64 Building for target x86_64 Wrote: /builddir/build/SRPMS/R-CRAN-adelie-1.0.2-1.fc39.copr7975920.src.rpm RPM build warnings: source_date_epoch_from_changelog set but %changelog is missing No matches found for the following disable plugin patterns: local, spacewalk, versionlock Updating Subscription Management repositories. Unable to read consumer identity This system is not registered with an entitlement server. You can use subscription-manager to register. Copr repository 34 kB/s | 1.5 kB 00:00 Copr repository 56 MB/s | 28 MB 00:00 fedora 1.1 MB/s | 30 kB 00:00 updates 1.0 MB/s | 28 kB 00:00 Dependencies resolved. ======================================================================================== Package Arch Version Repo Size ======================================================================================== Installing: R-CRAN-Matrix x86_64 1.6.5-1.fc39.copr6886765 copr_base 4.1 M R-CRAN-Rcpp x86_64 1.0.13-1.fc39.copr7745410 copr_base 2.0 M R-CRAN-RcppEigen x86_64 0.3.4.0.2-1.fc39.copr7940693 copr_base 1.4 M R-CRAN-r2r noarch 0.1.1-1.fc39.copr6284757 copr_base 98 k R-CRAN-stringr noarch 1.5.1-1.fc39.copr6636964 copr_base 319 k R-core x86_64 4.3.3-2.fc39 updates 64 M R-devel x86_64 4.3.3-2.fc39 updates 10 k Installing dependencies: R-CRAN-cli x86_64 3.6.3-1.fc39.copr7649835 copr_base 1.3 M R-CRAN-digest x86_64 0.6.37-1.fc39.copr7936834 copr_base 229 k R-CRAN-glue x86_64 1.7.0-1.fc39.copr6877494 copr_base 165 k R-CRAN-lattice x86_64 0.22.6-1.fc39.copr7307082 copr_base 1.4 M R-CRAN-lifecycle noarch 1.0.4-1.fc39.copr6614518 copr_base 130 k R-CRAN-magrittr x86_64 2.0.3-1.fc39.copr6279321 copr_base 222 k R-CRAN-rlang x86_64 1.1.4-1.fc39.copr7531082 copr_base 1.6 M R-CRAN-stringi x86_64 1.8.4-1.fc39.copr7422034 copr_base 993 k R-CRAN-vctrs x86_64 0.6.5-1.fc39.copr6715464 copr_base 1.3 M R-core-devel x86_64 4.3.3-2.fc39 updates 93 k R-java x86_64 4.3.3-2.fc39 updates 11 k R-java-devel x86_64 4.3.3-2.fc39 updates 10 k R-littler x86_64 0.3.19-1.fc39 updates 76 k R-rpm-macros noarch 1.2.1-7.fc39 fedora 11 k abattis-cantarell-vf-fonts noarch 0.301-10.fc39 fedora 121 k alsa-lib x86_64 1.2.12-1.fc39 updates 521 k annobin-docs noarch 12.60-1.fc39 updates 88 k annobin-plugin-gcc x86_64 12.60-1.fc39 updates 965 k avahi-libs x86_64 0.8-24.fc39 fedora 67 k brotli x86_64 1.1.0-1.fc39 fedora 20 k brotli-devel x86_64 1.1.0-1.fc39 fedora 34 k bzip2-devel x86_64 1.0.8-16.fc39 fedora 214 k cairo x86_64 1.18.0-1.fc39 fedora 710 k cmake-filesystem x86_64 3.27.7-1.fc39 fedora 19 k copy-jdk-configs noarch 4.1-3.fc39 fedora 28 k cpp x86_64 13.3.1-1.fc39 updates 11 M crypto-policies-scripts noarch 20231204-1.git1e3a2e4.fc39 updates 117 k cups-libs x86_64 1:2.4.10-6.fc39 updates 269 k dbus-libs x86_64 1:1.14.10-1.fc39 fedora 156 k default-fonts-core-sans noarch 4.0-9.fc39 fedora 32 k desktop-file-utils x86_64 0.26-9.fc39 fedora 72 k emacs-filesystem noarch 1:29.4-2.fc39 updates 7.3 k expat x86_64 2.6.2-1.fc39 updates 114 k flexiblas x86_64 3.4.4-1.fc39 updates 25 k flexiblas-devel x86_64 3.4.4-1.fc39 updates 121 k flexiblas-netlib x86_64 3.4.4-1.fc39 updates 3.1 M flexiblas-netlib64 x86_64 3.4.4-1.fc39 updates 3.0 M flexiblas-openblas-openmp x86_64 3.4.4-1.fc39 updates 17 k flexiblas-openblas-openmp64 x86_64 3.4.4-1.fc39 updates 17 k fontconfig x86_64 2.14.2-6.fc39 updates 296 k fontconfig-devel x86_64 2.14.2-6.fc39 updates 164 k fonts-filesystem noarch 1:2.0.5-12.fc39 fedora 8.2 k freetype x86_64 2.13.1-2.fc39 fedora 414 k freetype-devel x86_64 2.13.1-2.fc39 fedora 950 k fribidi x86_64 1.0.13-2.fc39 fedora 91 k gc x86_64 8.2.2-4.fc39 fedora 110 k gcc x86_64 13.3.1-1.fc39 updates 34 M gcc-c++ x86_64 13.3.1-1.fc39 updates 13 M gcc-gfortran x86_64 13.3.1-1.fc39 updates 12 M gcc-plugin-annobin x86_64 13.3.1-1.fc39 updates 56 k gettext x86_64 0.22-2.fc39 fedora 1.1 M gettext-envsubst x86_64 0.22-2.fc39 fedora 36 k gettext-libs x86_64 0.22-2.fc39 fedora 328 k gettext-runtime x86_64 0.22-2.fc39 fedora 120 k glib2 x86_64 2.78.6-1.fc39 updates 2.8 M glib2-devel x86_64 2.78.6-1.fc39 updates 594 k glibc-devel x86_64 2.38-18.fc39 updates 86 k glibc-headers-x86 noarch 2.38-18.fc39 updates 571 k gnutls x86_64 3.8.6-1.fc39 updates 1.1 M google-noto-fonts-common noarch 20240101-1.fc39 updates 17 k google-noto-sans-vf-fonts noarch 20240101-1.fc39 updates 593 k graphite2 x86_64 1.3.14-12.fc39 fedora 95 k graphite2-devel x86_64 1.3.14-12.fc39 fedora 20 k guile22 x86_64 2.2.7-9.fc39 fedora 6.5 M harfbuzz x86_64 8.2.1-2.fc39 fedora 975 k harfbuzz-devel x86_64 8.2.1-2.fc39 fedora 450 k harfbuzz-icu x86_64 8.2.1-2.fc39 fedora 17 k java-21-openjdk x86_64 1:21.0.4.0.7-2.fc39 updates 426 k java-21-openjdk-devel x86_64 1:21.0.4.0.7-2.fc39 updates 5.0 M java-21-openjdk-headless x86_64 1:21.0.4.0.7-2.fc39 updates 48 M javapackages-filesystem noarch 6.1.0-10.fc39 fedora 12 k jbigkit-libs x86_64 2.1-26.fc39 fedora 53 k kernel-headers x86_64 6.10.3-200.fc39 updates 1.6 M libICE x86_64 1.0.10-11.fc39 fedora 70 k libRmath x86_64 4.3.3-2.fc39 updates 121 k libRmath-devel x86_64 4.3.3-2.fc39 updates 16 k libSM x86_64 1.2.3-13.fc39 fedora 41 k libX11 x86_64 1.8.9-1.fc39 updates 650 k libX11-common noarch 1.8.9-1.fc39 updates 176 k libX11-devel x86_64 1.8.9-1.fc39 updates 1.0 M libX11-xcb x86_64 1.8.9-1.fc39 updates 12 k libXau x86_64 1.0.11-3.fc39 fedora 31 k libXau-devel x86_64 1.0.11-3.fc39 fedora 14 k libXcomposite x86_64 0.4.5-10.fc39 fedora 23 k libXext x86_64 1.3.5-3.fc39 fedora 39 k libXft x86_64 2.3.8-3.fc39 fedora 72 k libXft-devel x86_64 2.3.8-3.fc39 fedora 50 k libXi x86_64 1.8.1-2.fc39 fedora 40 k libXmu x86_64 1.1.4-3.fc39 fedora 76 k libXrender x86_64 0.9.11-3.fc39 fedora 27 k libXrender-devel x86_64 0.9.11-3.fc39 fedora 19 k libXt x86_64 1.2.1-5.fc39 fedora 178 k libXtst x86_64 1.2.4-3.fc39 fedora 20 k libb2 x86_64 0.98.1-9.fc39 fedora 25 k libblkid-devel x86_64 2.39.4-1.fc39 updates 18 k libdatrie x86_64 0.2.13-7.fc39 fedora 32 k libffi-devel x86_64 3.4.4-4.fc39 fedora 29 k libfontenc x86_64 1.1.6-3.fc39 fedora 32 k libgfortran x86_64 13.3.1-1.fc39 updates 906 k libicu x86_64 73.2-2.fc39 fedora 11 M libicu-devel x86_64 73.2-2.fc39 fedora 924 k libjpeg-turbo x86_64 2.1.4-3.fc39 fedora 183 k liblerc x86_64 4.0.0-4.fc39 fedora 201 k libmount-devel x86_64 2.39.4-1.fc39 updates 18 k libmpc x86_64 1.3.1-3.fc39 fedora 70 k libpng x86_64 2:1.6.37-15.fc39 fedora 119 k libpng-devel x86_64 2:1.6.37-15.fc39 fedora 291 k libquadmath x86_64 13.3.1-1.fc39 updates 203 k libquadmath-devel x86_64 13.3.1-1.fc39 updates 45 k libselinux-devel x86_64 3.5-5.fc39 fedora 151 k libsepol-devel x86_64 3.5-2.fc39 fedora 49 k libstdc++-devel x86_64 13.3.1-1.fc39 updates 2.6 M libthai x86_64 0.1.29-6.fc39 fedora 213 k libtiff x86_64 4.4.0-8.fc39 fedora 202 k libtirpc-devel x86_64 1.3.5-0.fc39 updates 125 k libwebp x86_64 1.3.2-2.fc39 fedora 284 k libxcb x86_64 1.13.1-12.fc39 fedora 233 k libxcb-devel x86_64 1.13.1-12.fc39 fedora 1.4 M libxcrypt-devel x86_64 4.4.36-2.fc39 fedora 30 k libxml2-devel x86_64 2.10.4-3.fc39 fedora 527 k lksctp-tools x86_64 1.0.19-4.fc39 fedora 92 k lua x86_64 5.4.6-3.fc39 fedora 191 k lua-posix x86_64 36.2.1-3.fc39 fedora 143 k make x86_64 1:4.4.1-2.fc39 fedora 589 k mkfontscale x86_64 1.2.2-4.fc39 fedora 32 k mpdecimal x86_64 2.5.1-7.fc39 fedora 89 k nettle x86_64 3.9.1-2.fc39 fedora 425 k nspr x86_64 4.35.0-22.fc39 updates 136 k nss x86_64 3.103.0-1.fc39 updates 708 k nss-softokn x86_64 3.103.0-1.fc39 updates 419 k nss-softokn-freebl x86_64 3.103.0-1.fc39 updates 300 k nss-sysinit x86_64 3.103.0-1.fc39 updates 18 k nss-util x86_64 3.103.0-1.fc39 updates 88 k openblas x86_64 0.3.21-6.fc39 fedora 35 k openblas-openmp x86_64 0.3.21-6.fc39 fedora 4.9 M openblas-openmp64 x86_64 0.3.21-6.fc39 fedora 4.8 M pango x86_64 1.51.0-1.fc39 fedora 343 k pcre2-devel x86_64 10.42-1.fc39.2 fedora 505 k pcre2-utf16 x86_64 10.42-1.fc39.2 fedora 212 k pcre2-utf32 x86_64 10.42-1.fc39.2 fedora 200 k pixman x86_64 0.42.2-2.fc39 fedora 288 k python-pip-wheel noarch 23.2.1-2.fc39 updates 1.5 M python3 x86_64 3.12.5-1.fc39 updates 28 k python3-libs x86_64 3.12.5-1.fc39 updates 9.2 M python3-setuptools noarch 67.7.2-8.fc39 updates 1.5 M sysprof-capture-devel x86_64 45.1-1.fc39 updates 59 k tcl x86_64 1:8.6.12-5.fc39 fedora 1.1 M tcl-devel x86_64 1:8.6.12-5.fc39 fedora 169 k tk x86_64 1:8.6.12-5.fc39 fedora 1.6 M tk-devel x86_64 1:8.6.12-5.fc39 fedora 537 k tre x86_64 0.8.0-41.20140228gitc2f5d13.fc39 fedora 43 k tre-common noarch 0.8.0-41.20140228gitc2f5d13.fc39 fedora 31 k tre-devel x86_64 0.8.0-41.20140228gitc2f5d13.fc39 fedora 12 k ttmkfdir x86_64 3.0.9-69.fc39 fedora 56 k tzdata noarch 2024a-2.fc39 updates 715 k tzdata-java noarch 2024a-2.fc39 updates 208 k xdg-utils noarch 1.1.3-15.fc39 fedora 77 k xml-common noarch 0.6.3-61.fc39 fedora 31 k xorg-x11-fonts-Type1 noarch 7.5-36.fc39 fedora 504 k xorg-x11-proto-devel noarch 2023.2-2.fc39 fedora 298 k xz-devel x86_64 5.4.4-1.fc39 fedora 66 k zlib-devel x86_64 1.2.13-4.fc39 fedora 45 k Transaction Summary ======================================================================================== Install 169 Packages Total download size: 285 M Installed size: 909 M Downloading Packages: (1/169): R-CRAN-Rcpp-1.0.13-1.fc39.copr7745410. 19 MB/s | 2.0 MB 00:00 (2/169): R-CRAN-Matrix-1.6.5-1.fc39.copr6886765 25 MB/s | 4.1 MB 00:00 (3/169): R-CRAN-cli-3.6.3-1.fc39.copr7649835.x8 20 MB/s | 1.3 MB 00:00 (4/169): R-CRAN-RcppEigen-0.3.4.0.2-1.fc39.copr 8.3 MB/s | 1.4 MB 00:00 (5/169): R-CRAN-digest-0.6.37-1.fc39.copr793683 18 MB/s | 229 kB 00:00 (6/169): R-CRAN-glue-1.7.0-1.fc39.copr6877494.x 14 MB/s | 165 kB 00:00 (7/169): R-CRAN-lattice-0.22.6-1.fc39.copr73070 52 MB/s | 1.4 MB 00:00 (8/169): R-CRAN-lifecycle-1.0.4-1.fc39.copr6614 6.1 MB/s | 130 kB 00:00 (9/169): R-CRAN-magrittr-2.0.3-1.fc39.copr62793 11 MB/s | 222 kB 00:00 (10/169): R-CRAN-stringi-1.8.4-1.fc39.copr74220 33 MB/s | 993 kB 00:00 (11/169): R-CRAN-rlang-1.1.4-1.fc39.copr7531082 37 MB/s | 1.6 MB 00:00 (12/169): R-CRAN-stringr-1.5.1-1.fc39.copr66369 21 MB/s | 319 kB 00:00 (13/169): R-CRAN-vctrs-0.6.5-1.fc39.copr6715464 52 MB/s | 1.3 MB 00:00 (14/169): R-rpm-macros-1.2.1-7.fc39.noarch.rpm 237 kB/s | 11 kB 00:00 (15/169): R-CRAN-r2r-0.1.1-1.fc39.copr6284757.n 693 kB/s | 98 kB 00:00 (16/169): avahi-libs-0.8-24.fc39.x86_64.rpm 1.3 MB/s | 67 kB 00:00 (17/169): abattis-cantarell-vf-fonts-0.301-10.f 1.3 MB/s | 121 kB 00:00 (18/169): brotli-devel-1.1.0-1.fc39.x86_64.rpm 1.6 MB/s | 34 kB 00:00 (19/169): brotli-1.1.0-1.fc39.x86_64.rpm 372 kB/s | 20 kB 00:00 (20/169): bzip2-devel-1.0.8-16.fc39.x86_64.rpm 4.9 MB/s | 214 kB 00:00 (21/169): cmake-filesystem-3.27.7-1.fc39.x86_64 909 kB/s | 19 kB 00:00 (22/169): copy-jdk-configs-4.1-3.fc39.noarch.rp 1.6 MB/s | 28 kB 00:00 (23/169): cairo-1.18.0-1.fc39.x86_64.rpm 9.3 MB/s | 710 kB 00:00 (24/169): default-fonts-core-sans-4.0-9.fc39.no 1.8 MB/s | 32 kB 00:00 (25/169): desktop-file-utils-0.26-9.fc39.x86_64 3.9 MB/s | 72 kB 00:00 (26/169): fonts-filesystem-2.0.5-12.fc39.noarch 485 kB/s | 8.2 kB 00:00 (27/169): dbus-libs-1.14.10-1.fc39.x86_64.rpm 2.7 MB/s | 156 kB 00:00 (28/169): freetype-2.13.1-2.fc39.x86_64.rpm 18 MB/s | 414 kB 00:00 (29/169): fribidi-1.0.13-2.fc39.x86_64.rpm 4.3 MB/s | 91 kB 00:00 (30/169): gc-8.2.2-4.fc39.x86_64.rpm 5.9 MB/s | 110 kB 00:00 (31/169): freetype-devel-2.13.1-2.fc39.x86_64.r 17 MB/s | 950 kB 00:00 (32/169): gettext-envsubst-0.22-2.fc39.x86_64.r 2.0 MB/s | 36 kB 00:00 (33/169): gettext-libs-0.22-2.fc39.x86_64.rpm 15 MB/s | 328 kB 00:00 (34/169): gettext-runtime-0.22-2.fc39.x86_64.rp 6.3 MB/s | 120 kB 00:00 (35/169): graphite2-1.3.14-12.fc39.x86_64.rpm 4.7 MB/s | 95 kB 00:00 (36/169): gettext-0.22-2.fc39.x86_64.rpm 17 MB/s | 1.1 MB 00:00 (37/169): graphite2-devel-1.3.14-12.fc39.x86_64 959 kB/s | 20 kB 00:00 (38/169): harfbuzz-devel-8.2.1-2.fc39.x86_64.rp 8.5 MB/s | 450 kB 00:00 (39/169): harfbuzz-8.2.1-2.fc39.x86_64.rpm 14 MB/s | 975 kB 00:00 (40/169): harfbuzz-icu-8.2.1-2.fc39.x86_64.rpm 854 kB/s | 17 kB 00:00 (41/169): javapackages-filesystem-6.1.0-10.fc39 715 kB/s | 12 kB 00:00 (42/169): jbigkit-libs-2.1-26.fc39.x86_64.rpm 2.9 MB/s | 53 kB 00:00 (43/169): libICE-1.0.10-11.fc39.x86_64.rpm 3.8 MB/s | 70 kB 00:00 (44/169): libSM-1.2.3-13.fc39.x86_64.rpm 2.2 MB/s | 41 kB 00:00 (45/169): libXau-1.0.11-3.fc39.x86_64.rpm 1.8 MB/s | 31 kB 00:00 (46/169): libXau-devel-1.0.11-3.fc39.x86_64.rpm 778 kB/s | 14 kB 00:00 (47/169): guile22-2.2.7-9.fc39.x86_64.rpm 45 MB/s | 6.5 MB 00:00 (48/169): libXcomposite-0.4.5-10.fc39.x86_64.rp 1.1 MB/s | 23 kB 00:00 (49/169): libXext-1.3.5-3.fc39.x86_64.rpm 2.1 MB/s | 39 kB 00:00 (50/169): libXft-2.3.8-3.fc39.x86_64.rpm 4.0 MB/s | 72 kB 00:00 (51/169): libXi-1.8.1-2.fc39.x86_64.rpm 2.2 MB/s | 40 kB 00:00 (52/169): libXft-devel-2.3.8-3.fc39.x86_64.rpm 2.4 MB/s | 50 kB 00:00 (53/169): libXrender-0.9.11-3.fc39.x86_64.rpm 1.5 MB/s | 27 kB 00:00 (54/169): libXmu-1.1.4-3.fc39.x86_64.rpm 3.9 MB/s | 76 kB 00:00 (55/169): libXrender-devel-0.9.11-3.fc39.x86_64 973 kB/s | 19 kB 00:00 (56/169): libXtst-1.2.4-3.fc39.x86_64.rpm 1.2 MB/s | 20 kB 00:00 (57/169): libXt-1.2.1-5.fc39.x86_64.rpm 8.9 MB/s | 178 kB 00:00 (58/169): libb2-0.98.1-9.fc39.x86_64.rpm 1.5 MB/s | 25 kB 00:00 (59/169): libdatrie-0.2.13-7.fc39.x86_64.rpm 1.8 MB/s | 32 kB 00:00 (60/169): libfontenc-1.1.6-3.fc39.x86_64.rpm 1.7 MB/s | 32 kB 00:00 (61/169): libffi-devel-3.4.4-4.fc39.x86_64.rpm 1.4 MB/s | 29 kB 00:00 (62/169): libjpeg-turbo-2.1.4-3.fc39.x86_64.rpm 9.0 MB/s | 183 kB 00:00 (63/169): liblerc-4.0.0-4.fc39.x86_64.rpm 8.5 MB/s | 201 kB 00:00 (64/169): libicu-devel-73.2-2.fc39.x86_64.rpm 14 MB/s | 924 kB 00:00 (65/169): libmpc-1.3.1-3.fc39.x86_64.rpm 3.6 MB/s | 70 kB 00:00 (66/169): libpng-1.6.37-15.fc39.x86_64.rpm 5.7 MB/s | 119 kB 00:00 (67/169): libpng-devel-1.6.37-15.fc39.x86_64.rp 11 MB/s | 291 kB 00:00 (68/169): libselinux-devel-3.5-5.fc39.x86_64.rp 5.7 MB/s | 151 kB 00:00 (69/169): libsepol-devel-3.5-2.fc39.x86_64.rpm 2.3 MB/s | 49 kB 00:00 (70/169): libtiff-4.4.0-8.fc39.x86_64.rpm 9.1 MB/s | 202 kB 00:00 (71/169): libthai-0.1.29-6.fc39.x86_64.rpm 8.3 MB/s | 213 kB 00:00 (72/169): libwebp-1.3.2-2.fc39.x86_64.rpm 11 MB/s | 284 kB 00:00 (73/169): libxcb-1.13.1-12.fc39.x86_64.rpm 8.3 MB/s | 233 kB 00:00 (74/169): libxcrypt-devel-4.4.36-2.fc39.x86_64. 1.6 MB/s | 30 kB 00:00 (75/169): libxcb-devel-1.13.1-12.fc39.x86_64.rp 29 MB/s | 1.4 MB 00:00 (76/169): libicu-73.2-2.fc39.x86_64.rpm 46 MB/s | 11 MB 00:00 (77/169): libxml2-devel-2.10.4-3.fc39.x86_64.rp 12 MB/s | 527 kB 00:00 (78/169): lksctp-tools-1.0.19-4.fc39.x86_64.rpm 5.0 MB/s | 92 kB 00:00 (79/169): lua-5.4.6-3.fc39.x86_64.rpm 9.4 MB/s | 191 kB 00:00 (80/169): lua-posix-36.2.1-3.fc39.x86_64.rpm 6.5 MB/s | 143 kB 00:00 (81/169): make-4.4.1-2.fc39.x86_64.rpm 22 MB/s | 589 kB 00:00 (82/169): mkfontscale-1.2.2-4.fc39.x86_64.rpm 1.8 MB/s | 32 kB 00:00 (83/169): mpdecimal-2.5.1-7.fc39.x86_64.rpm 4.5 MB/s | 89 kB 00:00 (84/169): nettle-3.9.1-2.fc39.x86_64.rpm 18 MB/s | 425 kB 00:00 (85/169): openblas-0.3.21-6.fc39.x86_64.rpm 1.7 MB/s | 35 kB 00:00 (86/169): pango-1.51.0-1.fc39.x86_64.rpm 15 MB/s | 343 kB 00:00 (87/169): pcre2-devel-10.42-1.fc39.2.x86_64.rpm 16 MB/s | 505 kB 00:00 (88/169): pcre2-utf16-10.42-1.fc39.2.x86_64.rpm 9.4 MB/s | 212 kB 00:00 (89/169): pcre2-utf32-10.42-1.fc39.2.x86_64.rpm 8.1 MB/s | 200 kB 00:00 (90/169): openblas-openmp64-0.3.21-6.fc39.x86_6 38 MB/s | 4.8 MB 00:00 (91/169): pixman-0.42.2-2.fc39.x86_64.rpm 12 MB/s | 288 kB 00:00 (92/169): tcl-devel-8.6.12-5.fc39.x86_64.rpm 6.3 MB/s | 169 kB 00:00 (93/169): tcl-8.6.12-5.fc39.x86_64.rpm 26 MB/s | 1.1 MB 00:00 (94/169): tk-devel-8.6.12-5.fc39.x86_64.rpm 17 MB/s | 537 kB 00:00 (95/169): tk-8.6.12-5.fc39.x86_64.rpm 30 MB/s | 1.6 MB 00:00 (96/169): openblas-openmp-0.3.21-6.fc39.x86_64. 21 MB/s | 4.9 MB 00:00 (97/169): tre-0.8.0-41.20140228gitc2f5d13.fc39. 2.1 MB/s | 43 kB 00:00 (98/169): tre-common-0.8.0-41.20140228gitc2f5d1 1.7 MB/s | 31 kB 00:00 (99/169): ttmkfdir-3.0.9-69.fc39.x86_64.rpm 3.2 MB/s | 56 kB 00:00 (100/169): tre-devel-0.8.0-41.20140228gitc2f5d1 640 kB/s | 12 kB 00:00 (101/169): xdg-utils-1.1.3-15.fc39.noarch.rpm 3.6 MB/s | 77 kB 00:00 (102/169): xml-common-0.6.3-61.fc39.noarch.rpm 1.8 MB/s | 31 kB 00:00 (103/169): xorg-x11-proto-devel-2023.2-2.fc39.n 13 MB/s | 298 kB 00:00 (104/169): xorg-x11-fonts-Type1-7.5-36.fc39.noa 14 MB/s | 504 kB 00:00 (105/169): xz-devel-5.4.4-1.fc39.x86_64.rpm 3.2 MB/s | 66 kB 00:00 (106/169): zlib-devel-1.2.13-4.fc39.x86_64.rpm 2.5 MB/s | 45 kB 00:00 (107/169): R-devel-4.3.3-2.fc39.x86_64.rpm 222 kB/s | 10 kB 00:00 (108/169): R-core-devel-4.3.3-2.fc39.x86_64.rpm 1.3 MB/s | 93 kB 00:00 (109/169): R-java-4.3.3-2.fc39.x86_64.rpm 248 kB/s | 11 kB 00:00 (110/169): R-java-devel-4.3.3-2.fc39.x86_64.rpm 324 kB/s | 10 kB 00:00 (111/169): R-littler-0.3.19-1.fc39.x86_64.rpm 544 kB/s | 76 kB 00:00 (112/169): alsa-lib-1.2.12-1.fc39.x86_64.rpm 2.6 MB/s | 521 kB 00:00 (113/169): annobin-docs-12.60-1.fc39.noarch.rpm 1.0 MB/s | 88 kB 00:00 (114/169): annobin-plugin-gcc-12.60-1.fc39.x86_ 4.8 MB/s | 965 kB 00:00 (115/169): crypto-policies-scripts-20231204-1.g 2.4 MB/s | 117 kB 00:00 (116/169): cups-libs-2.4.10-6.fc39.x86_64.rpm 4.9 MB/s | 269 kB 00:00 (117/169): emacs-filesystem-29.4-2.fc39.noarch. 415 kB/s | 7.3 kB 00:00 (118/169): expat-2.6.2-1.fc39.x86_64.rpm 1.5 MB/s | 114 kB 00:00 (119/169): flexiblas-3.4.4-1.fc39.x86_64.rpm 907 kB/s | 25 kB 00:00 (120/169): flexiblas-devel-3.4.4-1.fc39.x86_64. 292 kB/s | 121 kB 00:00 (121/169): R-core-4.3.3-2.fc39.x86_64.rpm 52 MB/s | 64 MB 00:01 (122/169): cpp-13.3.1-1.fc39.x86_64.rpm 11 MB/s | 11 MB 00:00 (123/169): flexiblas-netlib64-3.4.4-1.fc39.x86_ 41 MB/s | 3.0 MB 00:00 (124/169): flexiblas-openblas-openmp-3.4.4-1.fc 1.1 MB/s | 17 kB 00:00 (125/169): flexiblas-openblas-openmp64-3.4.4-1. 1.8 MB/s | 17 kB 00:00 (126/169): fontconfig-2.14.2-6.fc39.x86_64.rpm 7.2 MB/s | 296 kB 00:00 (127/169): fontconfig-devel-2.14.2-6.fc39.x86_6 4.0 MB/s | 164 kB 00:00 (128/169): flexiblas-netlib-3.4.4-1.fc39.x86_64 5.0 MB/s | 3.1 MB 00:00 (129/169): gcc-13.3.1-1.fc39.x86_64.rpm 49 MB/s | 34 MB 00:00 (130/169): gcc-c++-13.3.1-1.fc39.x86_64.rpm 18 MB/s | 13 MB 00:00 (131/169): gcc-plugin-annobin-13.3.1-1.fc39.x86 4.6 MB/s | 56 kB 00:00 (132/169): glib2-devel-2.78.6-1.fc39.x86_64.rpm 17 MB/s | 594 kB 00:00 (133/169): glibc-devel-2.38-18.fc39.x86_64.rpm 2.5 MB/s | 86 kB 00:00 (134/169): glibc-headers-x86-2.38-18.fc39.noarc 15 MB/s | 571 kB 00:00 (135/169): glib2-2.78.6-1.fc39.x86_64.rpm 22 MB/s | 2.8 MB 00:00 (136/169): google-noto-fonts-common-20240101-1. 1.1 MB/s | 17 kB 00:00 (137/169): gnutls-3.8.6-1.fc39.x86_64.rpm 36 MB/s | 1.1 MB 00:00 (138/169): google-noto-sans-vf-fonts-20240101-1 17 MB/s | 593 kB 00:00 (139/169): java-21-openjdk-21.0.4.0.7-2.fc39.x8 10 MB/s | 426 kB 00:00 (140/169): java-21-openjdk-devel-21.0.4.0.7-2.f 22 MB/s | 5.0 MB 00:00 (141/169): kernel-headers-6.10.3-200.fc39.x86_6 21 MB/s | 1.6 MB 00:00 (142/169): libRmath-4.3.3-2.fc39.x86_64.rpm 3.3 MB/s | 121 kB 00:00 (143/169): gcc-gfortran-13.3.1-1.fc39.x86_64.rp 11 MB/s | 12 MB 00:01 (144/169): libX11-1.8.9-1.fc39.x86_64.rpm 8.0 MB/s | 650 kB 00:00 (145/169): libX11-common-1.8.9-1.fc39.noarch.rp 3.6 MB/s | 176 kB 00:00 (146/169): libRmath-devel-4.3.3-2.fc39.x86_64.r 44 kB/s | 16 kB 00:00 (147/169): libX11-xcb-1.8.9-1.fc39.x86_64.rpm 148 kB/s | 12 kB 00:00 (148/169): libblkid-devel-2.39.4-1.fc39.x86_64. 924 kB/s | 18 kB 00:00 (149/169): libX11-devel-1.8.9-1.fc39.x86_64.rpm 4.8 MB/s | 1.0 MB 00:00 (150/169): libmount-devel-2.39.4-1.fc39.x86_64. 199 kB/s | 18 kB 00:00 (151/169): libgfortran-13.3.1-1.fc39.x86_64.rpm 2.6 MB/s | 906 kB 00:00 (152/169): libquadmath-devel-13.3.1-1.fc39.x86_ 1.0 MB/s | 45 kB 00:00 (153/169): libquadmath-13.3.1-1.fc39.x86_64.rpm 636 kB/s | 203 kB 00:00 (154/169): java-21-openjdk-headless-21.0.4.0.7- 33 MB/s | 48 MB 00:01 (155/169): libstdc++-devel-13.3.1-1.fc39.x86_64 13 MB/s | 2.6 MB 00:00 (156/169): libtirpc-devel-1.3.5-0.fc39.x86_64.r 1.6 MB/s | 125 kB 00:00 (157/169): nspr-4.35.0-22.fc39.x86_64.rpm 12 MB/s | 136 kB 00:00 (158/169): nss-softokn-freebl-3.103.0-1.fc39.x8 19 MB/s | 300 kB 00:00 (159/169): nss-softokn-3.103.0-1.fc39.x86_64.rp 15 MB/s | 419 kB 00:00 (160/169): nss-sysinit-3.103.0-1.fc39.x86_64.rp 2.0 MB/s | 18 kB 00:00 (161/169): nss-3.103.0-1.fc39.x86_64.rpm 19 MB/s | 708 kB 00:00 (162/169): nss-util-3.103.0-1.fc39.x86_64.rpm 8.0 MB/s | 88 kB 00:00 (163/169): python3-3.12.5-1.fc39.x86_64.rpm 906 kB/s | 28 kB 00:00 (164/169): python-pip-wheel-23.2.1-2.fc39.noarc 19 MB/s | 1.5 MB 00:00 (165/169): python3-setuptools-67.7.2-8.fc39.noa 17 MB/s | 1.5 MB 00:00 (166/169): sysprof-capture-devel-45.1-1.fc39.x8 1.2 MB/s | 59 kB 00:00 (167/169): tzdata-2024a-2.fc39.noarch.rpm 14 MB/s | 715 kB 00:00 (168/169): tzdata-java-2024a-2.fc39.noarch.rpm 4.0 MB/s | 208 kB 00:00 (169/169): python3-libs-3.12.5-1.fc39.x86_64.rp 27 MB/s | 9.2 MB 00:00 -------------------------------------------------------------------------------- Total 52 MB/s | 285 MB 00:05 Running transaction check Transaction check succeeded. Running transaction test Transaction test succeeded. Running transaction Running scriptlet: copy-jdk-configs-4.1-3.fc39.noarch 1/1 Running scriptlet: java-21-openjdk-headless-1:21.0.4.0.7-2.fc39.x86_64 1/1 Preparing : 1/1 Installing : zlib-devel-1.2.13-4.fc39.x86_64 1/169 Installing : nspr-4.35.0-22.fc39.x86_64 2/169 Installing : libgfortran-13.3.1-1.fc39.x86_64 3/169 Installing : nss-util-3.103.0-1.fc39.x86_64 4/169 Installing : libquadmath-13.3.1-1.fc39.x86_64 5/169 Installing : xorg-x11-proto-devel-2023.2-2.fc39.noarch 6/169 Installing : libpng-2:1.6.37-15.fc39.x86_64 7/169 Installing : libmpc-1.3.1-3.fc39.x86_64 8/169 Installing : libicu-73.2-2.fc39.x86_64 9/169 Installing : tcl-1:8.6.12-5.fc39.x86_64 10/169 Installing : fonts-filesystem-1:2.0.5-12.fc39.noarch 11/169 Installing : tcl-devel-1:8.6.12-5.fc39.x86_64 12/169 Installing : libicu-devel-73.2-2.fc39.x86_64 13/169 Installing : libRmath-4.3.3-2.fc39.x86_64 14/169 Installing : xz-devel-5.4.4-1.fc39.x86_64 15/169 Installing : openblas-0.3.21-6.fc39.x86_64 16/169 Installing : libjpeg-turbo-2.1.4-3.fc39.x86_64 17/169 Installing : libXau-1.0.11-3.fc39.x86_64 18/169 Installing : libxcb-1.13.1-12.fc39.x86_64 19/169 Installing : libICE-1.0.10-11.fc39.x86_64 20/169 Installing : graphite2-1.3.14-12.fc39.x86_64 21/169 Installing : gettext-libs-0.22-2.fc39.x86_64 22/169 Installing : bzip2-devel-1.0.8-16.fc39.x86_64 23/169 Installing : graphite2-devel-1.3.14-12.fc39.x86_64 24/169 Installing : libSM-1.2.3-13.fc39.x86_64 25/169 Installing : libXau-devel-1.0.11-3.fc39.x86_64 26/169 Installing : libxcb-devel-1.13.1-12.fc39.x86_64 27/169 Installing : openblas-openmp-0.3.21-6.fc39.x86_64 28/169 Installing : openblas-openmp64-0.3.21-6.fc39.x86_64 29/169 Installing : flexiblas-netlib64-3.4.4-1.fc39.x86_64 30/169 Installing : flexiblas-netlib-3.4.4-1.fc39.x86_64 31/169 Installing : flexiblas-openblas-openmp-3.4.4-1.fc39.x86_64 32/169 Installing : flexiblas-3.4.4-1.fc39.x86_64 33/169 Installing : flexiblas-openblas-openmp64-3.4.4-1.fc39.x86_64 34/169 Installing : flexiblas-devel-3.4.4-1.fc39.x86_64 35/169 Installing : libRmath-devel-4.3.3-2.fc39.x86_64 36/169 Installing : abattis-cantarell-vf-fonts-0.301-10.fc39.noarch 37/169 Installing : cpp-13.3.1-1.fc39.x86_64 38/169 Installing : libpng-devel-2:1.6.37-15.fc39.x86_64 39/169 Installing : nss-softokn-freebl-3.103.0-1.fc39.x86_64 40/169 Installing : nss-softokn-3.103.0-1.fc39.x86_64 41/169 Installing : tzdata-java-2024a-2.fc39.noarch 42/169 Installing : tzdata-2024a-2.fc39.noarch 43/169 Installing : sysprof-capture-devel-45.1-1.fc39.x86_64 44/169 Installing : python-pip-wheel-23.2.1-2.fc39.noarch 45/169 Installing : libtirpc-devel-1.3.5-0.fc39.x86_64 46/169 Installing : libstdc++-devel-13.3.1-1.fc39.x86_64 47/169 Installing : libblkid-devel-2.39.4-1.fc39.x86_64 48/169 Installing : libX11-xcb-1.8.9-1.fc39.x86_64 49/169 Installing : libX11-common-1.8.9-1.fc39.noarch 50/169 Installing : libX11-1.8.9-1.fc39.x86_64 51/169 Installing : libXext-1.3.5-3.fc39.x86_64 52/169 Installing : libXrender-0.9.11-3.fc39.x86_64 53/169 Installing : libX11-devel-1.8.9-1.fc39.x86_64 54/169 Installing : libXi-1.8.1-2.fc39.x86_64 55/169 Installing : libXt-1.2.1-5.fc39.x86_64 56/169 Installing : libXmu-1.1.4-3.fc39.x86_64 57/169 Installing : libXtst-1.2.4-3.fc39.x86_64 58/169 Installing : libXrender-devel-0.9.11-3.fc39.x86_64 59/169 Installing : libXcomposite-0.4.5-10.fc39.x86_64 60/169 Installing : kernel-headers-6.10.3-200.fc39.x86_64 61/169 Installing : google-noto-fonts-common-20240101-1.fc39.noarch 62/169 Installing : google-noto-sans-vf-fonts-20240101-1.fc39.noarch 63/169 Installing : default-fonts-core-sans-4.0-9.fc39.noarch 64/169 Installing : glibc-headers-x86-2.38-18.fc39.noarch 65/169 Installing : glibc-devel-2.38-18.fc39.x86_64 66/169 Installing : libxcrypt-devel-4.4.36-2.fc39.x86_64 67/169 Installing : expat-2.6.2-1.fc39.x86_64 68/169 Installing : emacs-filesystem-1:29.4-2.fc39.noarch 69/169 Installing : annobin-docs-12.60-1.fc39.noarch 70/169 Installing : alsa-lib-1.2.12-1.fc39.x86_64 71/169 Running scriptlet: xml-common-0.6.3-61.fc39.noarch 72/169 Installing : xml-common-0.6.3-61.fc39.noarch 72/169 Installing : tre-common-0.8.0-41.20140228gitc2f5d13.fc39.noar 73/169 Installing : tre-0.8.0-41.20140228gitc2f5d13.fc39.x86_64 74/169 Installing : tre-devel-0.8.0-41.20140228gitc2f5d13.fc39.x86_6 75/169 Installing : pixman-0.42.2-2.fc39.x86_64 76/169 Installing : pcre2-utf32-10.42-1.fc39.2.x86_64 77/169 Installing : pcre2-utf16-10.42-1.fc39.2.x86_64 78/169 Installing : pcre2-devel-10.42-1.fc39.2.x86_64 79/169 Installing : nettle-3.9.1-2.fc39.x86_64 80/169 Installing : gnutls-3.8.6-1.fc39.x86_64 81/169 Installing : glib2-2.78.6-1.fc39.x86_64 82/169 Installing : cairo-1.18.0-1.fc39.x86_64 83/169 Installing : harfbuzz-8.2.1-2.fc39.x86_64 84/169 Installing : freetype-2.13.1-2.fc39.x86_64 85/169 Installing : fontconfig-2.14.2-6.fc39.x86_64 86/169 Running scriptlet: fontconfig-2.14.2-6.fc39.x86_64 86/169 Installing : libXft-2.3.8-3.fc39.x86_64 87/169 Running scriptlet: tk-1:8.6.12-5.fc39.x86_64 88/169 Installing : tk-1:8.6.12-5.fc39.x86_64 88/169 Installing : ttmkfdir-3.0.9-69.fc39.x86_64 89/169 Installing : harfbuzz-icu-8.2.1-2.fc39.x86_64 90/169 Installing : desktop-file-utils-0.26-9.fc39.x86_64 91/169 Installing : xdg-utils-1.1.3-15.fc39.noarch 92/169 Installing : mpdecimal-2.5.1-7.fc39.x86_64 93/169 Installing : lua-posix-36.2.1-3.fc39.x86_64 94/169 Installing : lua-5.4.6-3.fc39.x86_64 95/169 Installing : copy-jdk-configs-4.1-3.fc39.noarch 96/169 Installing : lksctp-tools-1.0.19-4.fc39.x86_64 97/169 Installing : libwebp-1.3.2-2.fc39.x86_64 98/169 Installing : libsepol-devel-3.5-2.fc39.x86_64 99/169 Installing : libselinux-devel-3.5-5.fc39.x86_64 100/169 Installing : libmount-devel-2.39.4-1.fc39.x86_64 101/169 Installing : liblerc-4.0.0-4.fc39.x86_64 102/169 Installing : libfontenc-1.1.6-3.fc39.x86_64 103/169 Installing : mkfontscale-1.2.2-4.fc39.x86_64 104/169 Installing : xorg-x11-fonts-Type1-7.5-36.fc39.noarch 105/169 Running scriptlet: xorg-x11-fonts-Type1-7.5-36.fc39.noarch 105/169 Installing : libffi-devel-3.4.4-4.fc39.x86_64 106/169 Installing : libdatrie-0.2.13-7.fc39.x86_64 107/169 Installing : libthai-0.1.29-6.fc39.x86_64 108/169 Installing : libb2-0.98.1-9.fc39.x86_64 109/169 Installing : python3-3.12.5-1.fc39.x86_64 110/169 Installing : python3-libs-3.12.5-1.fc39.x86_64 111/169 Installing : crypto-policies-scripts-20231204-1.git1e3a2e4.fc 112/169 Installing : nss-sysinit-3.103.0-1.fc39.x86_64 113/169 Installing : nss-3.103.0-1.fc39.x86_64 114/169 Running scriptlet: nss-3.103.0-1.fc39.x86_64 114/169 Installing : python3-setuptools-67.7.2-8.fc39.noarch 115/169 Installing : glib2-devel-2.78.6-1.fc39.x86_64 116/169 Installing : jbigkit-libs-2.1-26.fc39.x86_64 117/169 Installing : libtiff-4.4.0-8.fc39.x86_64 118/169 Installing : javapackages-filesystem-6.1.0-10.fc39.noarch 119/169 Installing : gettext-envsubst-0.22-2.fc39.x86_64 120/169 Installing : gettext-runtime-0.22-2.fc39.x86_64 121/169 Installing : gettext-0.22-2.fc39.x86_64 122/169 Installing : gc-8.2.2-4.fc39.x86_64 123/169 Installing : guile22-2.2.7-9.fc39.x86_64 124/169 Installing : make-1:4.4.1-2.fc39.x86_64 125/169 Installing : gcc-13.3.1-1.fc39.x86_64 126/169 Running scriptlet: gcc-13.3.1-1.fc39.x86_64 126/169 Installing : gcc-c++-13.3.1-1.fc39.x86_64 127/169 Installing : libquadmath-devel-13.3.1-1.fc39.x86_64 128/169 Installing : gcc-gfortran-13.3.1-1.fc39.x86_64 129/169 Installing : fribidi-1.0.13-2.fc39.x86_64 130/169 Installing : pango-1.51.0-1.fc39.x86_64 131/169 Installing : R-core-4.3.3-2.fc39.x86_64 132/169 Installing : R-CRAN-rlang-1.1.4-1.fc39.copr7531082.x86_64 133/169 Installing : R-CRAN-cli-3.6.3-1.fc39.copr7649835.x86_64 134/169 Installing : R-CRAN-glue-1.7.0-1.fc39.copr6877494.x86_64 135/169 Installing : R-CRAN-lifecycle-1.0.4-1.fc39.copr6614518.noarch 136/169 Installing : R-CRAN-vctrs-0.6.5-1.fc39.copr6715464.x86_64 137/169 Installing : R-CRAN-digest-0.6.37-1.fc39.copr7936834.x86_64 138/169 Installing : R-CRAN-lattice-0.22.6-1.fc39.copr7307082.x86_64 139/169 Installing : R-CRAN-magrittr-2.0.3-1.fc39.copr6279321.x86_64 140/169 Installing : R-CRAN-stringi-1.8.4-1.fc39.copr7422034.x86_64 141/169 Installing : R-rpm-macros-1.2.1-7.fc39.noarch 142/169 Installing : R-littler-0.3.19-1.fc39.x86_64 143/169 Installing : R-CRAN-Rcpp-1.0.13-1.fc39.copr7745410.x86_64 144/169 Installing : dbus-libs-1:1.14.10-1.fc39.x86_64 145/169 Installing : avahi-libs-0.8-24.fc39.x86_64 146/169 Installing : cups-libs-1:2.4.10-6.fc39.x86_64 147/169 Installing : java-21-openjdk-headless-1:21.0.4.0.7-2.fc39.x86 148/169 Running scriptlet: java-21-openjdk-headless-1:21.0.4.0.7-2.fc39.x86 148/169 Installing : R-java-4.3.3-2.fc39.x86_64 149/169 Installing : java-21-openjdk-1:21.0.4.0.7-2.fc39.x86_64 150/169 Running scriptlet: java-21-openjdk-1:21.0.4.0.7-2.fc39.x86_64 150/169 Installing : java-21-openjdk-devel-1:21.0.4.0.7-2.fc39.x86_64 151/169 Running scriptlet: java-21-openjdk-devel-1:21.0.4.0.7-2.fc39.x86_64 151/169 Installing : cmake-filesystem-3.27.7-1.fc39.x86_64 152/169 Installing : libxml2-devel-2.10.4-3.fc39.x86_64 153/169 Installing : brotli-1.1.0-1.fc39.x86_64 154/169 Installing : brotli-devel-1.1.0-1.fc39.x86_64 155/169 Installing : freetype-devel-2.13.1-2.fc39.x86_64 156/169 Installing : harfbuzz-devel-8.2.1-2.fc39.x86_64 157/169 Installing : fontconfig-devel-2.14.2-6.fc39.x86_64 158/169 Installing : libXft-devel-2.3.8-3.fc39.x86_64 159/169 Installing : tk-devel-1:8.6.12-5.fc39.x86_64 160/169 Installing : R-core-devel-4.3.3-2.fc39.x86_64 161/169 Installing : R-java-devel-4.3.3-2.fc39.x86_64 162/169 Installing : R-devel-4.3.3-2.fc39.x86_64 163/169 Installing : R-CRAN-RcppEigen-0.3.4.0.2-1.fc39.copr7940693.x8 164/169 Installing : R-CRAN-stringr-1.5.1-1.fc39.copr6636964.noarch 165/169 Installing : R-CRAN-Matrix-1.6.5-1.fc39.copr6886765.x86_64 166/169 Installing : R-CRAN-r2r-0.1.1-1.fc39.copr6284757.noarch 167/169 Installing : annobin-plugin-gcc-12.60-1.fc39.x86_64 168/169 Running scriptlet: annobin-plugin-gcc-12.60-1.fc39.x86_64 168/169 Installing : gcc-plugin-annobin-13.3.1-1.fc39.x86_64 169/169 Running scriptlet: gcc-plugin-annobin-13.3.1-1.fc39.x86_64 169/169 Running scriptlet: fontconfig-2.14.2-6.fc39.x86_64 169/169 Running scriptlet: copy-jdk-configs-4.1-3.fc39.noarch 169/169 Running scriptlet: crypto-policies-scripts-20231204-1.git1e3a2e4.fc 169/169 Running scriptlet: nss-3.103.0-1.fc39.x86_64 169/169 Running scriptlet: java-21-openjdk-headless-1:21.0.4.0.7-2.fc39.x86 169/169 Running scriptlet: java-21-openjdk-1:21.0.4.0.7-2.fc39.x86_64 169/169 Running scriptlet: java-21-openjdk-devel-1:21.0.4.0.7-2.fc39.x86_64 169/169 Running scriptlet: gcc-plugin-annobin-13.3.1-1.fc39.x86_64 169/169 Verifying : R-CRAN-Matrix-1.6.5-1.fc39.copr6886765.x86_64 1/169 Verifying : R-CRAN-Rcpp-1.0.13-1.fc39.copr7745410.x86_64 2/169 Verifying : R-CRAN-RcppEigen-0.3.4.0.2-1.fc39.copr7940693.x8 3/169 Verifying : R-CRAN-cli-3.6.3-1.fc39.copr7649835.x86_64 4/169 Verifying : R-CRAN-digest-0.6.37-1.fc39.copr7936834.x86_64 5/169 Verifying : R-CRAN-glue-1.7.0-1.fc39.copr6877494.x86_64 6/169 Verifying : R-CRAN-lattice-0.22.6-1.fc39.copr7307082.x86_64 7/169 Verifying : R-CRAN-lifecycle-1.0.4-1.fc39.copr6614518.noarch 8/169 Verifying : R-CRAN-magrittr-2.0.3-1.fc39.copr6279321.x86_64 9/169 Verifying : R-CRAN-r2r-0.1.1-1.fc39.copr6284757.noarch 10/169 Verifying : R-CRAN-rlang-1.1.4-1.fc39.copr7531082.x86_64 11/169 Verifying : R-CRAN-stringi-1.8.4-1.fc39.copr7422034.x86_64 12/169 Verifying : R-CRAN-stringr-1.5.1-1.fc39.copr6636964.noarch 13/169 Verifying : R-CRAN-vctrs-0.6.5-1.fc39.copr6715464.x86_64 14/169 Verifying : R-rpm-macros-1.2.1-7.fc39.noarch 15/169 Verifying : abattis-cantarell-vf-fonts-0.301-10.fc39.noarch 16/169 Verifying : avahi-libs-0.8-24.fc39.x86_64 17/169 Verifying : brotli-1.1.0-1.fc39.x86_64 18/169 Verifying : brotli-devel-1.1.0-1.fc39.x86_64 19/169 Verifying : bzip2-devel-1.0.8-16.fc39.x86_64 20/169 Verifying : cairo-1.18.0-1.fc39.x86_64 21/169 Verifying : cmake-filesystem-3.27.7-1.fc39.x86_64 22/169 Verifying : copy-jdk-configs-4.1-3.fc39.noarch 23/169 Verifying : dbus-libs-1:1.14.10-1.fc39.x86_64 24/169 Verifying : default-fonts-core-sans-4.0-9.fc39.noarch 25/169 Verifying : desktop-file-utils-0.26-9.fc39.x86_64 26/169 Verifying : fonts-filesystem-1:2.0.5-12.fc39.noarch 27/169 Verifying : freetype-2.13.1-2.fc39.x86_64 28/169 Verifying : freetype-devel-2.13.1-2.fc39.x86_64 29/169 Verifying : fribidi-1.0.13-2.fc39.x86_64 30/169 Verifying : gc-8.2.2-4.fc39.x86_64 31/169 Verifying : gettext-0.22-2.fc39.x86_64 32/169 Verifying : gettext-envsubst-0.22-2.fc39.x86_64 33/169 Verifying : gettext-libs-0.22-2.fc39.x86_64 34/169 Verifying : gettext-runtime-0.22-2.fc39.x86_64 35/169 Verifying : graphite2-1.3.14-12.fc39.x86_64 36/169 Verifying : graphite2-devel-1.3.14-12.fc39.x86_64 37/169 Verifying : guile22-2.2.7-9.fc39.x86_64 38/169 Verifying : harfbuzz-8.2.1-2.fc39.x86_64 39/169 Verifying : harfbuzz-devel-8.2.1-2.fc39.x86_64 40/169 Verifying : harfbuzz-icu-8.2.1-2.fc39.x86_64 41/169 Verifying : javapackages-filesystem-6.1.0-10.fc39.noarch 42/169 Verifying : jbigkit-libs-2.1-26.fc39.x86_64 43/169 Verifying : libICE-1.0.10-11.fc39.x86_64 44/169 Verifying : libSM-1.2.3-13.fc39.x86_64 45/169 Verifying : libXau-1.0.11-3.fc39.x86_64 46/169 Verifying : libXau-devel-1.0.11-3.fc39.x86_64 47/169 Verifying : libXcomposite-0.4.5-10.fc39.x86_64 48/169 Verifying : libXext-1.3.5-3.fc39.x86_64 49/169 Verifying : libXft-2.3.8-3.fc39.x86_64 50/169 Verifying : libXft-devel-2.3.8-3.fc39.x86_64 51/169 Verifying : libXi-1.8.1-2.fc39.x86_64 52/169 Verifying : libXmu-1.1.4-3.fc39.x86_64 53/169 Verifying : libXrender-0.9.11-3.fc39.x86_64 54/169 Verifying : libXrender-devel-0.9.11-3.fc39.x86_64 55/169 Verifying : libXt-1.2.1-5.fc39.x86_64 56/169 Verifying : libXtst-1.2.4-3.fc39.x86_64 57/169 Verifying : libb2-0.98.1-9.fc39.x86_64 58/169 Verifying : libdatrie-0.2.13-7.fc39.x86_64 59/169 Verifying : libffi-devel-3.4.4-4.fc39.x86_64 60/169 Verifying : libfontenc-1.1.6-3.fc39.x86_64 61/169 Verifying : libicu-73.2-2.fc39.x86_64 62/169 Verifying : libicu-devel-73.2-2.fc39.x86_64 63/169 Verifying : libjpeg-turbo-2.1.4-3.fc39.x86_64 64/169 Verifying : liblerc-4.0.0-4.fc39.x86_64 65/169 Verifying : libmpc-1.3.1-3.fc39.x86_64 66/169 Verifying : libpng-2:1.6.37-15.fc39.x86_64 67/169 Verifying : libpng-devel-2:1.6.37-15.fc39.x86_64 68/169 Verifying : libselinux-devel-3.5-5.fc39.x86_64 69/169 Verifying : libsepol-devel-3.5-2.fc39.x86_64 70/169 Verifying : libthai-0.1.29-6.fc39.x86_64 71/169 Verifying : libtiff-4.4.0-8.fc39.x86_64 72/169 Verifying : libwebp-1.3.2-2.fc39.x86_64 73/169 Verifying : libxcb-1.13.1-12.fc39.x86_64 74/169 Verifying : libxcb-devel-1.13.1-12.fc39.x86_64 75/169 Verifying : libxcrypt-devel-4.4.36-2.fc39.x86_64 76/169 Verifying : libxml2-devel-2.10.4-3.fc39.x86_64 77/169 Verifying : lksctp-tools-1.0.19-4.fc39.x86_64 78/169 Verifying : lua-5.4.6-3.fc39.x86_64 79/169 Verifying : lua-posix-36.2.1-3.fc39.x86_64 80/169 Verifying : make-1:4.4.1-2.fc39.x86_64 81/169 Verifying : mkfontscale-1.2.2-4.fc39.x86_64 82/169 Verifying : mpdecimal-2.5.1-7.fc39.x86_64 83/169 Verifying : nettle-3.9.1-2.fc39.x86_64 84/169 Verifying : openblas-0.3.21-6.fc39.x86_64 85/169 Verifying : openblas-openmp-0.3.21-6.fc39.x86_64 86/169 Verifying : openblas-openmp64-0.3.21-6.fc39.x86_64 87/169 Verifying : pango-1.51.0-1.fc39.x86_64 88/169 Verifying : pcre2-devel-10.42-1.fc39.2.x86_64 89/169 Verifying : pcre2-utf16-10.42-1.fc39.2.x86_64 90/169 Verifying : pcre2-utf32-10.42-1.fc39.2.x86_64 91/169 Verifying : pixman-0.42.2-2.fc39.x86_64 92/169 Verifying : tcl-1:8.6.12-5.fc39.x86_64 93/169 Verifying : tcl-devel-1:8.6.12-5.fc39.x86_64 94/169 Verifying : tk-1:8.6.12-5.fc39.x86_64 95/169 Verifying : tk-devel-1:8.6.12-5.fc39.x86_64 96/169 Verifying : tre-0.8.0-41.20140228gitc2f5d13.fc39.x86_64 97/169 Verifying : tre-common-0.8.0-41.20140228gitc2f5d13.fc39.noar 98/169 Verifying : tre-devel-0.8.0-41.20140228gitc2f5d13.fc39.x86_6 99/169 Verifying : ttmkfdir-3.0.9-69.fc39.x86_64 100/169 Verifying : xdg-utils-1.1.3-15.fc39.noarch 101/169 Verifying : xml-common-0.6.3-61.fc39.noarch 102/169 Verifying : xorg-x11-fonts-Type1-7.5-36.fc39.noarch 103/169 Verifying : xorg-x11-proto-devel-2023.2-2.fc39.noarch 104/169 Verifying : xz-devel-5.4.4-1.fc39.x86_64 105/169 Verifying : zlib-devel-1.2.13-4.fc39.x86_64 106/169 Verifying : R-core-4.3.3-2.fc39.x86_64 107/169 Verifying : R-core-devel-4.3.3-2.fc39.x86_64 108/169 Verifying : R-devel-4.3.3-2.fc39.x86_64 109/169 Verifying : R-java-4.3.3-2.fc39.x86_64 110/169 Verifying : R-java-devel-4.3.3-2.fc39.x86_64 111/169 Verifying : R-littler-0.3.19-1.fc39.x86_64 112/169 Verifying : alsa-lib-1.2.12-1.fc39.x86_64 113/169 Verifying : annobin-docs-12.60-1.fc39.noarch 114/169 Verifying : annobin-plugin-gcc-12.60-1.fc39.x86_64 115/169 Verifying : cpp-13.3.1-1.fc39.x86_64 116/169 Verifying : crypto-policies-scripts-20231204-1.git1e3a2e4.fc 117/169 Verifying : cups-libs-1:2.4.10-6.fc39.x86_64 118/169 Verifying : emacs-filesystem-1:29.4-2.fc39.noarch 119/169 Verifying : expat-2.6.2-1.fc39.x86_64 120/169 Verifying : flexiblas-3.4.4-1.fc39.x86_64 121/169 Verifying : flexiblas-devel-3.4.4-1.fc39.x86_64 122/169 Verifying : flexiblas-netlib-3.4.4-1.fc39.x86_64 123/169 Verifying : flexiblas-netlib64-3.4.4-1.fc39.x86_64 124/169 Verifying : flexiblas-openblas-openmp-3.4.4-1.fc39.x86_64 125/169 Verifying : flexiblas-openblas-openmp64-3.4.4-1.fc39.x86_64 126/169 Verifying : fontconfig-2.14.2-6.fc39.x86_64 127/169 Verifying : fontconfig-devel-2.14.2-6.fc39.x86_64 128/169 Verifying : gcc-13.3.1-1.fc39.x86_64 129/169 Verifying : gcc-c++-13.3.1-1.fc39.x86_64 130/169 Verifying : gcc-gfortran-13.3.1-1.fc39.x86_64 131/169 Verifying : gcc-plugin-annobin-13.3.1-1.fc39.x86_64 132/169 Verifying : glib2-2.78.6-1.fc39.x86_64 133/169 Verifying : glib2-devel-2.78.6-1.fc39.x86_64 134/169 Verifying : glibc-devel-2.38-18.fc39.x86_64 135/169 Verifying : glibc-headers-x86-2.38-18.fc39.noarch 136/169 Verifying : gnutls-3.8.6-1.fc39.x86_64 137/169 Verifying : google-noto-fonts-common-20240101-1.fc39.noarch 138/169 Verifying : google-noto-sans-vf-fonts-20240101-1.fc39.noarch 139/169 Verifying : java-21-openjdk-1:21.0.4.0.7-2.fc39.x86_64 140/169 Verifying : java-21-openjdk-devel-1:21.0.4.0.7-2.fc39.x86_64 141/169 Verifying : java-21-openjdk-headless-1:21.0.4.0.7-2.fc39.x86 142/169 Verifying : kernel-headers-6.10.3-200.fc39.x86_64 143/169 Verifying : libRmath-4.3.3-2.fc39.x86_64 144/169 Verifying : libRmath-devel-4.3.3-2.fc39.x86_64 145/169 Verifying : libX11-1.8.9-1.fc39.x86_64 146/169 Verifying : libX11-common-1.8.9-1.fc39.noarch 147/169 Verifying : libX11-devel-1.8.9-1.fc39.x86_64 148/169 Verifying : libX11-xcb-1.8.9-1.fc39.x86_64 149/169 Verifying : libblkid-devel-2.39.4-1.fc39.x86_64 150/169 Verifying : libgfortran-13.3.1-1.fc39.x86_64 151/169 Verifying : libmount-devel-2.39.4-1.fc39.x86_64 152/169 Verifying : libquadmath-13.3.1-1.fc39.x86_64 153/169 Verifying : libquadmath-devel-13.3.1-1.fc39.x86_64 154/169 Verifying : libstdc++-devel-13.3.1-1.fc39.x86_64 155/169 Verifying : libtirpc-devel-1.3.5-0.fc39.x86_64 156/169 Verifying : nspr-4.35.0-22.fc39.x86_64 157/169 Verifying : nss-3.103.0-1.fc39.x86_64 158/169 Verifying : nss-softokn-3.103.0-1.fc39.x86_64 159/169 Verifying : nss-softokn-freebl-3.103.0-1.fc39.x86_64 160/169 Verifying : nss-sysinit-3.103.0-1.fc39.x86_64 161/169 Verifying : nss-util-3.103.0-1.fc39.x86_64 162/169 Verifying : python-pip-wheel-23.2.1-2.fc39.noarch 163/169 Verifying : python3-3.12.5-1.fc39.x86_64 164/169 Verifying : python3-libs-3.12.5-1.fc39.x86_64 165/169 Verifying : python3-setuptools-67.7.2-8.fc39.noarch 166/169 Verifying : sysprof-capture-devel-45.1-1.fc39.x86_64 167/169 Verifying : tzdata-2024a-2.fc39.noarch 168/169 Verifying : tzdata-java-2024a-2.fc39.noarch 169/169 Installed products updated. Installed: R-CRAN-Matrix-1.6.5-1.fc39.copr6886765.x86_64 R-CRAN-Rcpp-1.0.13-1.fc39.copr7745410.x86_64 R-CRAN-RcppEigen-0.3.4.0.2-1.fc39.copr7940693.x86_64 R-CRAN-cli-3.6.3-1.fc39.copr7649835.x86_64 R-CRAN-digest-0.6.37-1.fc39.copr7936834.x86_64 R-CRAN-glue-1.7.0-1.fc39.copr6877494.x86_64 R-CRAN-lattice-0.22.6-1.fc39.copr7307082.x86_64 R-CRAN-lifecycle-1.0.4-1.fc39.copr6614518.noarch R-CRAN-magrittr-2.0.3-1.fc39.copr6279321.x86_64 R-CRAN-r2r-0.1.1-1.fc39.copr6284757.noarch R-CRAN-rlang-1.1.4-1.fc39.copr7531082.x86_64 R-CRAN-stringi-1.8.4-1.fc39.copr7422034.x86_64 R-CRAN-stringr-1.5.1-1.fc39.copr6636964.noarch R-CRAN-vctrs-0.6.5-1.fc39.copr6715464.x86_64 R-core-4.3.3-2.fc39.x86_64 R-core-devel-4.3.3-2.fc39.x86_64 R-devel-4.3.3-2.fc39.x86_64 R-java-4.3.3-2.fc39.x86_64 R-java-devel-4.3.3-2.fc39.x86_64 R-littler-0.3.19-1.fc39.x86_64 R-rpm-macros-1.2.1-7.fc39.noarch abattis-cantarell-vf-fonts-0.301-10.fc39.noarch alsa-lib-1.2.12-1.fc39.x86_64 annobin-docs-12.60-1.fc39.noarch annobin-plugin-gcc-12.60-1.fc39.x86_64 avahi-libs-0.8-24.fc39.x86_64 brotli-1.1.0-1.fc39.x86_64 brotli-devel-1.1.0-1.fc39.x86_64 bzip2-devel-1.0.8-16.fc39.x86_64 cairo-1.18.0-1.fc39.x86_64 cmake-filesystem-3.27.7-1.fc39.x86_64 copy-jdk-configs-4.1-3.fc39.noarch cpp-13.3.1-1.fc39.x86_64 crypto-policies-scripts-20231204-1.git1e3a2e4.fc39.noarch cups-libs-1:2.4.10-6.fc39.x86_64 dbus-libs-1:1.14.10-1.fc39.x86_64 default-fonts-core-sans-4.0-9.fc39.noarch desktop-file-utils-0.26-9.fc39.x86_64 emacs-filesystem-1:29.4-2.fc39.noarch expat-2.6.2-1.fc39.x86_64 flexiblas-3.4.4-1.fc39.x86_64 flexiblas-devel-3.4.4-1.fc39.x86_64 flexiblas-netlib-3.4.4-1.fc39.x86_64 flexiblas-netlib64-3.4.4-1.fc39.x86_64 flexiblas-openblas-openmp-3.4.4-1.fc39.x86_64 flexiblas-openblas-openmp64-3.4.4-1.fc39.x86_64 fontconfig-2.14.2-6.fc39.x86_64 fontconfig-devel-2.14.2-6.fc39.x86_64 fonts-filesystem-1:2.0.5-12.fc39.noarch freetype-2.13.1-2.fc39.x86_64 freetype-devel-2.13.1-2.fc39.x86_64 fribidi-1.0.13-2.fc39.x86_64 gc-8.2.2-4.fc39.x86_64 gcc-13.3.1-1.fc39.x86_64 gcc-c++-13.3.1-1.fc39.x86_64 gcc-gfortran-13.3.1-1.fc39.x86_64 gcc-plugin-annobin-13.3.1-1.fc39.x86_64 gettext-0.22-2.fc39.x86_64 gettext-envsubst-0.22-2.fc39.x86_64 gettext-libs-0.22-2.fc39.x86_64 gettext-runtime-0.22-2.fc39.x86_64 glib2-2.78.6-1.fc39.x86_64 glib2-devel-2.78.6-1.fc39.x86_64 glibc-devel-2.38-18.fc39.x86_64 glibc-headers-x86-2.38-18.fc39.noarch gnutls-3.8.6-1.fc39.x86_64 google-noto-fonts-common-20240101-1.fc39.noarch google-noto-sans-vf-fonts-20240101-1.fc39.noarch graphite2-1.3.14-12.fc39.x86_64 graphite2-devel-1.3.14-12.fc39.x86_64 guile22-2.2.7-9.fc39.x86_64 harfbuzz-8.2.1-2.fc39.x86_64 harfbuzz-devel-8.2.1-2.fc39.x86_64 harfbuzz-icu-8.2.1-2.fc39.x86_64 java-21-openjdk-1:21.0.4.0.7-2.fc39.x86_64 java-21-openjdk-devel-1:21.0.4.0.7-2.fc39.x86_64 java-21-openjdk-headless-1:21.0.4.0.7-2.fc39.x86_64 javapackages-filesystem-6.1.0-10.fc39.noarch jbigkit-libs-2.1-26.fc39.x86_64 kernel-headers-6.10.3-200.fc39.x86_64 libICE-1.0.10-11.fc39.x86_64 libRmath-4.3.3-2.fc39.x86_64 libRmath-devel-4.3.3-2.fc39.x86_64 libSM-1.2.3-13.fc39.x86_64 libX11-1.8.9-1.fc39.x86_64 libX11-common-1.8.9-1.fc39.noarch libX11-devel-1.8.9-1.fc39.x86_64 libX11-xcb-1.8.9-1.fc39.x86_64 libXau-1.0.11-3.fc39.x86_64 libXau-devel-1.0.11-3.fc39.x86_64 libXcomposite-0.4.5-10.fc39.x86_64 libXext-1.3.5-3.fc39.x86_64 libXft-2.3.8-3.fc39.x86_64 libXft-devel-2.3.8-3.fc39.x86_64 libXi-1.8.1-2.fc39.x86_64 libXmu-1.1.4-3.fc39.x86_64 libXrender-0.9.11-3.fc39.x86_64 libXrender-devel-0.9.11-3.fc39.x86_64 libXt-1.2.1-5.fc39.x86_64 libXtst-1.2.4-3.fc39.x86_64 libb2-0.98.1-9.fc39.x86_64 libblkid-devel-2.39.4-1.fc39.x86_64 libdatrie-0.2.13-7.fc39.x86_64 libffi-devel-3.4.4-4.fc39.x86_64 libfontenc-1.1.6-3.fc39.x86_64 libgfortran-13.3.1-1.fc39.x86_64 libicu-73.2-2.fc39.x86_64 libicu-devel-73.2-2.fc39.x86_64 libjpeg-turbo-2.1.4-3.fc39.x86_64 liblerc-4.0.0-4.fc39.x86_64 libmount-devel-2.39.4-1.fc39.x86_64 libmpc-1.3.1-3.fc39.x86_64 libpng-2:1.6.37-15.fc39.x86_64 libpng-devel-2:1.6.37-15.fc39.x86_64 libquadmath-13.3.1-1.fc39.x86_64 libquadmath-devel-13.3.1-1.fc39.x86_64 libselinux-devel-3.5-5.fc39.x86_64 libsepol-devel-3.5-2.fc39.x86_64 libstdc++-devel-13.3.1-1.fc39.x86_64 libthai-0.1.29-6.fc39.x86_64 libtiff-4.4.0-8.fc39.x86_64 libtirpc-devel-1.3.5-0.fc39.x86_64 libwebp-1.3.2-2.fc39.x86_64 libxcb-1.13.1-12.fc39.x86_64 libxcb-devel-1.13.1-12.fc39.x86_64 libxcrypt-devel-4.4.36-2.fc39.x86_64 libxml2-devel-2.10.4-3.fc39.x86_64 lksctp-tools-1.0.19-4.fc39.x86_64 lua-5.4.6-3.fc39.x86_64 lua-posix-36.2.1-3.fc39.x86_64 make-1:4.4.1-2.fc39.x86_64 mkfontscale-1.2.2-4.fc39.x86_64 mpdecimal-2.5.1-7.fc39.x86_64 nettle-3.9.1-2.fc39.x86_64 nspr-4.35.0-22.fc39.x86_64 nss-3.103.0-1.fc39.x86_64 nss-softokn-3.103.0-1.fc39.x86_64 nss-softokn-freebl-3.103.0-1.fc39.x86_64 nss-sysinit-3.103.0-1.fc39.x86_64 nss-util-3.103.0-1.fc39.x86_64 openblas-0.3.21-6.fc39.x86_64 openblas-openmp-0.3.21-6.fc39.x86_64 openblas-openmp64-0.3.21-6.fc39.x86_64 pango-1.51.0-1.fc39.x86_64 pcre2-devel-10.42-1.fc39.2.x86_64 pcre2-utf16-10.42-1.fc39.2.x86_64 pcre2-utf32-10.42-1.fc39.2.x86_64 pixman-0.42.2-2.fc39.x86_64 python-pip-wheel-23.2.1-2.fc39.noarch python3-3.12.5-1.fc39.x86_64 python3-libs-3.12.5-1.fc39.x86_64 python3-setuptools-67.7.2-8.fc39.noarch sysprof-capture-devel-45.1-1.fc39.x86_64 tcl-1:8.6.12-5.fc39.x86_64 tcl-devel-1:8.6.12-5.fc39.x86_64 tk-1:8.6.12-5.fc39.x86_64 tk-devel-1:8.6.12-5.fc39.x86_64 tre-0.8.0-41.20140228gitc2f5d13.fc39.x86_64 tre-common-0.8.0-41.20140228gitc2f5d13.fc39.noarch tre-devel-0.8.0-41.20140228gitc2f5d13.fc39.x86_64 ttmkfdir-3.0.9-69.fc39.x86_64 tzdata-2024a-2.fc39.noarch tzdata-java-2024a-2.fc39.noarch xdg-utils-1.1.3-15.fc39.noarch xml-common-0.6.3-61.fc39.noarch xorg-x11-fonts-Type1-7.5-36.fc39.noarch xorg-x11-proto-devel-2023.2-2.fc39.noarch xz-devel-5.4.4-1.fc39.x86_64 zlib-devel-1.2.13-4.fc39.x86_64 Complete! Finish: build setup for R-CRAN-adelie-1.0.2-1.fc39.copr7975920.src.rpm Start: rpmbuild R-CRAN-adelie-1.0.2-1.fc39.copr7975920.src.rpm warning: source_date_epoch_from_changelog set but %changelog is missing Building target platforms: x86_64 Building for target x86_64 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.PaUqmg + umask 022 + cd /builddir/build/BUILD + cd /builddir/build/BUILD + rm -rf adelie + /usr/bin/mkdir -p adelie + cd adelie + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/adelie_1.0.2.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + rm -rf /builddir/build/BUILD/adelie-SPECPARTS + /usr/bin/mkdir -p /builddir/build/BUILD/adelie-SPECPARTS + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + find -type f -executable -exec grep -Iq . '{}' ';' -exec sed -i -e '$a\' '{}' ';' + '[' -d adelie/src ']' + find adelie/src -type f -exec sed -i s@/usr/bin/strip@/usr/bin/true@g '{}' ';' + '[' -d adelie/src ']' + find adelie/src/Makevars adelie/src/Makevars.win -type f -exec sed -i s@-g0@@g '{}' ';' + find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' '{}' ';' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.rA8I8X + umask 022 + cd /builddir/build/BUILD + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd adelie + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.hjIns5 + umask 022 + cd /builddir/build/BUILD + '[' /builddir/build/BUILDROOT/R-CRAN-adelie-1.0.2-1.fc39.copr7975920.x86_64 '!=' / ']' + rm -rf /builddir/build/BUILDROOT/R-CRAN-adelie-1.0.2-1.fc39.copr7975920.x86_64 ++ dirname /builddir/build/BUILDROOT/R-CRAN-adelie-1.0.2-1.fc39.copr7975920.x86_64 + mkdir -p /builddir/build/BUILDROOT + mkdir /builddir/build/BUILDROOT/R-CRAN-adelie-1.0.2-1.fc39.copr7975920.x86_64 + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd adelie + mkdir -p /builddir/build/BUILDROOT/R-CRAN-adelie-1.0.2-1.fc39.copr7975920.x86_64/usr/local/lib/R/library + /usr/bin/R CMD INSTALL -l /builddir/build/BUILDROOT/R-CRAN-adelie-1.0.2-1.fc39.copr7975920.x86_64/usr/local/lib/R/library adelie * installing *source* package ‘adelie’ ... ** package ‘adelie’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++ (GCC) 13.3.1 20240522 (Red Hat 13.3.1-1)’ using C++17 g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c RcppExports.cpp -o RcppExports.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_configs.cpp -o rcpp_configs.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_configs.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_constraint.cpp -o rcpp_constraint.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_constraint.h:2, from rcpp_constraint.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18: required from ‘class adelie_core::constraint::ConstraintBase’ rcpp_constraint.h:18:9: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18: required from ‘class adelie_core::constraint::ConstraintBase’ rcpp_constraint.h:18:9: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18: required from ‘class adelie_core::constraint::ConstraintBase’ rcpp_constraint.h:18:9: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_glm.cpp -o rcpp_glm.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_glm.h:2, from rcpp_glm.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22: required from ‘class adelie_core::glm::GlmBase’ rcpp_glm.h:164:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22: required from ‘class adelie_core::glm::GlmBase’ rcpp_glm.h:164:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22: required from ‘class adelie_core::glm::GlmBase’ rcpp_glm.h:164:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ rcpp_glm.h:166:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_glm.h:173:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ rcpp_glm.h:174:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ rcpp_glm.h:174:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:23:22: required from ‘class adelie_core::glm::GlmMultiBase’ rcpp_glm.h:203:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:23:22: required from ‘class adelie_core::glm::GlmMultiBase’ rcpp_glm.h:203:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ rcpp_glm.h:205:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ rcpp_glm.h:212:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_glm.h:214:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ rcpp_glm.h:215:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ rcpp_glm.h:215:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Array]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Array]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:288:29: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type = Eigen::Array::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits >::Scalar = double]’ rcpp_glm.h:166:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:371:41: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:364:18: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:345:16: required from ‘Eigen::Ref::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits >::match = Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::Stride<0, 0> > >]’ rcpp_glm.h:174:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:300:30: required from ‘static auto adelie_core::glm::GlmCox::init_weights_size_to(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:368:45: required from ‘adelie_core::glm::GlmCox::GlmCox(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const std::string&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; std::string = std::__cxx11::basic_string]’ /usr/include/c++/13/bits/stl_construct.h:119:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/c++/13/bits/shared_ptr_base.h:971:16: required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::glm::GlmCox; _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ /usr/include/c++/13/bits/shared_ptr_base.h:1712:14: required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; _Tp = adelie_core::glm::GlmCox; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ /usr/include/c++/13/bits/shared_ptr.h:464:59: required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; _Tp = adelie_core::glm::GlmCox]’ /usr/include/c++/13/bits/shared_ptr.h:1009:14: required from ‘std::shared_ptr >::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::glm::GlmCox; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const __cxx11::basic_string, allocator >&}; typename enable_if<(! is_array< >::value), _Tp>::type = adelie_core::glm::GlmCox]’ rcpp_glm.h:235:1: required from ‘RGlmCox64::RGlmCox64(Args&& ...) [with Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}]’ rcpp_glm.cpp:31:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/c++/13/bits/shared_ptr_base.h:971:16: required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::glm::GlmCox; _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ /usr/include/c++/13/bits/shared_ptr_base.h:1712:14: required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; _Tp = adelie_core::glm::GlmCox; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ /usr/include/c++/13/bits/shared_ptr.h:464:59: required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; _Tp = adelie_core::glm::GlmCox]’ /usr/include/c++/13/bits/shared_ptr.h:1009:14: required from ‘std::shared_ptr >::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::glm::GlmCox; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const __cxx11::basic_string, allocator >&}; typename enable_if<(! is_array< >::value), _Tp>::type = adelie_core::glm::GlmCox]’ rcpp_glm.h:235:1: required from ‘RGlmCox64::RGlmCox64(Args&& ...) [with Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}]’ rcpp_glm.cpp:31:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/c++/13/bits/shared_ptr_base.h:971:16: required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::glm::GlmCox; _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ /usr/include/c++/13/bits/shared_ptr_base.h:1712:14: required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; _Tp = adelie_core::glm::GlmCox; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ /usr/include/c++/13/bits/shared_ptr.h:464:59: required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; _Tp = adelie_core::glm::GlmCox]’ /usr/include/c++/13/bits/shared_ptr.h:1009:14: required from ‘std::shared_ptr >::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::glm::GlmCox; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const __cxx11::basic_string, allocator >&}; typename enable_if<(! is_array< >::value), _Tp>::type = adelie_core::glm::GlmCox]’ rcpp_glm.h:235:1: required from ‘RGlmCox64::RGlmCox64(Args&& ...) [with Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}]’ rcpp_glm.cpp:31:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper > >’ rcpp_glm.h:105:17: required from ‘void adelie_core::glm::GlmMultiS4::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ rcpp_glm.h:97:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > > >’ rcpp_glm.h:105:29: required from ‘void adelie_core::glm::GlmMultiS4::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ rcpp_glm.h:97:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > > > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > > > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > > > >’ rcpp_glm.h:105:37: required from ‘void adelie_core::glm::GlmMultiS4::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ rcpp_glm.h:97:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:163:35: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:165:21: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:165:21: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr::Type Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::cast() const [with NewType = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:166:79: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:166:43: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:166:43: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:165:25: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:164:30: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:164:23: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1>’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:43:41: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:47: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:59: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:67: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:31: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:31: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:74: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum, 1>’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:46:37: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:48:33: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:48:16: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:49:27: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:49:39: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:49:47: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:48:83: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:48:83: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:49:50: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:62:25: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:62:64: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Ref, 0, Eigen::OuterStride<> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:63:13: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr::Type Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::cast() const [with NewType = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:68:65: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:68:26: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:68:75: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:68:87: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:68:95: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:67:32: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:67:32: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:66:38: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:66:24: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:66:19: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:84:22: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1>’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:84:48: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:84:17: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:85:32: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1>’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:85:48: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:85:54: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:85:17: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:83:50: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:31:19: required from ‘void adelie_core::glm::GlmMultiGaussian::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:25:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:31:35: required from ‘void adelie_core::glm::GlmMultiGaussian::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:25:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:31:75: required from ‘void adelie_core::glm::GlmMultiGaussian::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:25:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:41:63: required from ‘void adelie_core::glm::GlmMultiGaussian::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:34:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:41:63: required from ‘void adelie_core::glm::GlmMultiGaussian::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:34:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:51:30: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:51:18: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:51:37: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:51:33: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1>’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:51:57: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:50:50: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:58:22: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:55:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:58:35: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:55:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:147:35: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:149:21: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr::Type Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::cast() const [with NewType = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:150:79: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:150:43: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:150:43: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:149:25: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:148:30: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:30:38: required from ‘void adelie_core::glm::GlmPoisson::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:24:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:30:29: required from ‘void adelie_core::glm::GlmPoisson::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:24:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:30:24: required from ‘void adelie_core::glm::GlmPoisson::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:24:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:40:24: required from ‘void adelie_core::glm::GlmPoisson::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:33:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:40:28: required from ‘void adelie_core::glm::GlmPoisson::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:33:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:29: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:38: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:76: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:80: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:25: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:35: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:29: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:42: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:80: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:84: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:25: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:30:29: required from ‘void adelie_core::glm::GlmGaussian::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:24:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:30:24: required from ‘void adelie_core::glm::GlmGaussian::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:24:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:44: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:32: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:51: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:47: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:25: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:53:32: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:51:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:53:35: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:51:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:399:21: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:424:48: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:424:37: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:428:27: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >::CastXpr’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >::CastXpr::Type Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >::cast() const [with NewType = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:429:96: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:429:27: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:428:45: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:442:40: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:442:33: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:484:33: required from ‘void adelie_core::glm::GlmCox::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:484:36: required from ‘void adelie_core::glm::GlmCox::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:483:45: required from ‘void adelie_core::glm::GlmCox::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:491:32: required from ‘void adelie_core::glm::GlmCox::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:491:27: required from ‘void adelie_core::glm::GlmCox::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:497:47: required from ‘void adelie_core::glm::GlmCox::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:497:40: required from ‘void adelie_core::glm::GlmCox::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:509:27: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:509:40: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:509:21: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:532:33: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:534:64: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:534:71: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:534:77: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:533:44: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:544:48: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:539:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:544:69: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:539:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:544:75: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:539:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:543:41: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:539:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:107:30: required from ‘static auto adelie_core::glm::GlmBinomialProbit::std_cdf(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:136:23: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:107:43: required from ‘static auto adelie_core::glm::GlmBinomialProbit::std_cdf(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:136:23: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:107:25: required from ‘static auto adelie_core::glm::GlmBinomialProbit::std_cdf(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:136:23: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:107:20: required from ‘static auto adelie_core::glm::GlmBinomialProbit::std_cdf(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:136:23: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:115:54: required from ‘static auto adelie_core::glm::GlmBinomialProbit::std_pdf(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:137:33: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:115:29: required from ‘static auto adelie_core::glm::GlmBinomialProbit::std_pdf(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:137:33: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:137:24: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:20: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:31: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:15: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:41: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:54: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:50: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:65: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:45: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:37: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:137:39: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:33: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:20: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:40: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:15: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:76: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:59: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:83: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:54: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:46: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:151:24: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:153:32: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:153:11: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:153:41: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:153:35: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:26: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:32: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:15: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:62: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:68: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:47: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:39: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:163:26: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:58:50: required from ‘void adelie_core::glm::GlmBinomialLogit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:52:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:58:38: required from ‘void adelie_core::glm::GlmBinomialLogit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:52:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:58:33: required from ‘void adelie_core::glm::GlmBinomialLogit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:52:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:58:29: required from ‘void adelie_core::glm::GlmBinomialLogit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:52:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:58:24: required from ‘void adelie_core::glm::GlmBinomialLogit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:52:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:70:32: required from ‘void adelie_core::glm::GlmBinomialLogit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:61:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:70:22: required from ‘void adelie_core::glm::GlmBinomialLogit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:61:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:70:40: required from ‘void adelie_core::glm::GlmBinomialLogit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:61:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >::CastXpr’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >::CastXpr::Type Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >::cast() const [with NewType = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:46: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:49: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:63: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:72: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:54: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:81:27: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:81:19: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:81:34: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:81:16: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:81:41: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:79: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:79:25: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:584:35: required from ‘ExpressionType& Eigen::VectorwiseOp::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; int Direction = 0]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:41:24: required from ‘void adelie_core::glm::GlmMultiGaussian::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:34:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:134:20: required from ‘void adelie_core::glm::cox::_at_risk_sum(const ASType&, const ATType&, const SType&, const TType&, const UType&, OutType&, Out1Type&, Out2Type&) [with ASType = adelie_core::glm::GlmCox::gradient(const Eigen::Ref, 0, Eigen::InnerStride<1> >&, Eigen::Ref, 0, Eigen::InnerStride<1> >)::; ATType = adelie_core::glm::GlmCox::gradient(const Eigen::Ref, 0, Eigen::InnerStride<1> >&, Eigen::Ref, 0, Eigen::InnerStride<1> >)::; SType = Eigen::Array; TType = Eigen::Array; UType = Eigen::Array; OutType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Out1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; Out2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:405:26: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:134:24: required from ‘void adelie_core::glm::cox::_at_risk_sum(const ASType&, const ATType&, const SType&, const TType&, const UType&, OutType&, Out1Type&, Out2Type&) [with ASType = adelie_core::glm::GlmCox::gradient(const Eigen::Ref, 0, Eigen::InnerStride<1> >&, Eigen::Ref, 0, Eigen::InnerStride<1> >)::; ATType = adelie_core::glm::GlmCox::gradient(const Eigen::Ref, 0, Eigen::InnerStride<1> >&, Eigen::Ref, 0, Eigen::InnerStride<1> >)::; SType = Eigen::Array; TType = Eigen::Array; UType = Eigen::Array; OutType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Out1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; Out2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:405:26: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:43:17: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref, 0, Eigen::InnerStride<1> >; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref, 0, Eigen::InnerStride<1> >; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref, 0, Eigen::InnerStride<1> >; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ rcpp_glm.h:42:14: required from ‘void adelie_core::glm::GlmS4::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_glm.h:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:97: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:93: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:62: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:53:49: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:51:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:532:53: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:535:18: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:545:14: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:539:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:165:15: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Ref, 0, Eigen::InnerStride<1> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::InnerStride<1> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:507:42: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:52:14: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:134:9: required from ‘void adelie_core::glm::cox::_at_risk_sum(const ASType&, const ATType&, const SType&, const TType&, const UType&, OutType&, Out1Type&, Out2Type&) [with ASType = adelie_core::glm::GlmCox::gradient(const Eigen::Ref, 0, Eigen::InnerStride<1> >&, Eigen::Ref, 0, Eigen::InnerStride<1> >)::; ATType = adelie_core::glm::GlmCox::gradient(const Eigen::Ref, 0, Eigen::InnerStride<1> >&, Eigen::Ref, 0, Eigen::InnerStride<1> >)::; SType = Eigen::Array; TType = Eigen::Array; UType = Eigen::Array; OutType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Out1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; Out2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:405:26: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:43:17: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:46:17: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_product_op; Lhs = const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; Rhs = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:52:14: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Ref, 0, Eigen::OuterStride<> >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:46:17: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_product_op; Lhs = const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; Rhs = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:52:14: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:116:1: required from ‘ResultType Eigen::internal::member_maxCoeff::operator()(const XprType&) const [with XprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:43:17: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Ref, 0, Eigen::OuterStride<> >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:46:17: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_product_op; Lhs = const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; Rhs = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:116:1: required from ‘ResultType Eigen::internal::member_maxCoeff::operator()(const XprType&) const [with XprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:43:17: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_io.cpp -o rcpp_io.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_io.h:2, from rcpp_io.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref >’ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:93:1: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref >’ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:237:5: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_io.h:29:5: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_io.h:29:5: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref >]’ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:344:23: required from ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’ rcpp_io.h:32:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:3, from rcpp_io.h:3: ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp: In instantiation of ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’: rcpp_io.h:32:41: required from here ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:43: note: initializing argument 3 of ‘void adelie_core::io::compute_impute(const Eigen::Ref >&, adelie_core::util::impute_method_type, Eigen::Ref >, size_t)’ 91 | Eigen::Ref> impute, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_matrix.cpp -o rcpp_matrix.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_matrix.h:2, from rcpp_matrix.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref >’ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:93:1: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref >’ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:237:5: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_io.h:29:5: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_io.h:29:5: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_base.hpp:96:18: required from ‘class adelie_core::matrix::MatrixCovBase’ rcpp_matrix.h:244:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:186:18: required from ‘class adelie_core::matrix::MatrixNaiveBase’ rcpp_matrix.h:269:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ rcpp_matrix.h:289:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ rcpp_matrix.h:297:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_matrix.h:299:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ rcpp_matrix.h:300:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:26:37: required from ‘class adelie_core::matrix::MatrixNaiveInteractionDense, int>’ rcpp_matrix.h:314:1: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_matrix.cpp:25:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref >]’ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:344:23: required from ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’ rcpp_io.h:32:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:3, from rcpp_io.h:3, from rcpp_matrix.h:4: ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp: In instantiation of ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’: rcpp_io.h:32:41: required from here ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:43: note: initializing argument 3 of ‘void adelie_core::io::compute_impute(const Eigen::Ref >&, adelie_core::util::impute_method_type, Eigen::Ref >, size_t)’ 91 | Eigen::Ref> impute, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:24:38: required from ‘class adelie_core::matrix::MatrixCovSparse, int>’ /usr/include/c++/13/type_traits:1417:30: required from ‘struct std::is_convertible, int>*, adelie_core::matrix::MatrixCovBase*>’ /usr/include/c++/13/bits/shared_ptr_base.h:1269:12: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/c++/13/type_traits:1040:25: required by substitution of ‘template using std::__is_constructible_impl = std::__bool_constant<__is_constructible(_Tp, _Args ...)> [with _Tp = std::__shared_ptr, __gnu_cxx::_S_atomic>; _Args = {const std::shared_ptr, int> >&}]’ /usr/include/c++/13/type_traits:1045:12: required from ‘struct std::is_constructible, __gnu_cxx::_S_atomic>, const std::shared_ptr, int> >&>’ /usr/include/c++/13/bits/shared_ptr.h:178:8: required by substitution of ‘template template using std::shared_ptr<_Tp>::_Constructible = typename std::enable_if, _Args ...>::value>::type [with _Args = {const std::shared_ptr, int> >&}; _Tp = adelie_core::matrix::MatrixCovBase]’ /usr/include/c++/13/bits/shared_ptr.h:350:9: required by substitution of ‘template std::shared_ptr >::shared_ptr(const std::shared_ptr<_Tp>&) [with _Yp = adelie_core::matrix::MatrixCovSparse, int>; = ]’ rcpp_matrix.h:308:1: required from ‘RMatrixCovSparse64F::RMatrixCovSparse64F(Args&& ...) [with Args = {const long unsigned int&, const long unsigned int&, const long unsigned int&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}]’ rcpp_matrix.cpp:46:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:24:28: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/c++/13/type_traits:1040:25: required by substitution of ‘template using std::__is_constructible_impl = std::__bool_constant<__is_constructible(_Tp, _Args ...)> [with _Tp = std::__shared_ptr, __gnu_cxx::_S_atomic>; _Args = {const std::shared_ptr >&}]’ /usr/include/c++/13/type_traits:1045:12: required from ‘struct std::is_constructible, __gnu_cxx::_S_atomic>, const std::shared_ptr >&>’ /usr/include/c++/13/bits/shared_ptr.h:178:8: required by substitution of ‘template template using std::shared_ptr<_Tp>::_Constructible = typename std::enable_if, _Args ...>::value>::type [with _Args = {const std::shared_ptr >&}; _Tp = adelie_core::matrix::MatrixNaiveBase]’ /usr/include/c++/13/bits/shared_ptr.h:350:9: required by substitution of ‘template std::shared_ptr >::shared_ptr(const std::shared_ptr<_Tp>&) [with _Yp = adelie_core::matrix::MatrixNaiveStandardize; = ]’ rcpp_matrix.h:327:1: required from ‘RMatrixNaiveStandardize64::RMatrixNaiveStandardize64(Args&& ...) [with Args = {adelie_core::matrix::MatrixNaiveBase&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}]’ rcpp_matrix.cpp:149:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:371:41: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:364:18: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:345:16: required from ‘Eigen::Ref::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits >::match = Eigen::internal::traits > >::match, 0, Eigen::Stride<0, 0> > >]’ rcpp_matrix.h:252:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/c++/13/bits/shared_ptr_base.h:971:16: required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::matrix::MatrixCovDense, int>; _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ /usr/include/c++/13/bits/shared_ptr_base.h:1712:14: required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}; _Tp = adelie_core::matrix::MatrixCovDense, int>; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ /usr/include/c++/13/bits/shared_ptr.h:464:59: required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}; _Tp = adelie_core::matrix::MatrixCovDense, int>]’ /usr/include/c++/13/bits/shared_ptr.h:1009:14: required from ‘std::shared_ptr >::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::matrix::MatrixCovDense, int>; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}; typename enable_if<(! is_array< >::value), _Tp>::type = adelie_core::matrix::MatrixCovDense, int>]’ rcpp_matrix.h:306:1: required from ‘RMatrixCovDense64F::RMatrixCovDense64F(Args&& ...) [with Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}]’ rcpp_matrix.cpp:27:55: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Array; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:75:27: required from ‘adelie_core::matrix::MatrixNaiveSNPUnphased::MatrixNaiveSNPUnphased(const io_t&, size_t) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; io_t = adelie_core::io::IOSNPUnphased >; size_t = long unsigned int]’ /usr/include/c++/13/bits/stl_construct.h:119:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/c++/13/bits/shared_ptr_base.h:971:16: required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::matrix::MatrixNaiveSNPUnphased, int>; _Alloc = std::allocator; _Args = {const RIOSNPUnphased&, const long unsigned int&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ /usr/include/c++/13/bits/shared_ptr_base.h:1712:14: required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const RIOSNPUnphased&, const long unsigned int&}; _Tp = adelie_core::matrix::MatrixNaiveSNPUnphased, int>; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ /usr/include/c++/13/bits/shared_ptr.h:464:59: required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const RIOSNPUnphased&, const long unsigned int&}; _Tp = adelie_core::matrix::MatrixNaiveSNPUnphased, int>]’ /usr/include/c++/13/bits/shared_ptr.h:1009:14: required from ‘std::shared_ptr >::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::matrix::MatrixNaiveSNPUnphased, int>; _Args = {const RIOSNPUnphased&, const long unsigned int&}; typename enable_if<(! is_array< >::value), _Tp>::type = adelie_core::matrix::MatrixNaiveSNPUnphased, int>]’ rcpp_matrix.h:325:1: required from ‘RMatrixNaiveSNPUnphased64::RMatrixNaiveSNPUnphased64(Args&& ...) [with Args = {const RIOSNPUnphased&, const long unsigned int&}]’ rcpp_matrix.cpp:121:63: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ rcpp_matrix.h:203:20: required from ‘void adelie_core::matrix::MatrixNaiveS4::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ rcpp_matrix.h:196:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:409:18: required from ‘void adelie_core::matrix::MatrixNaiveRSubset::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:385:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from rcpp_matrix.h:12: ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp: In instantiation of ‘void adelie_core::matrix::MatrixNaiveRSubset::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’: ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:385:10: required from here ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:176:36: note: initializing argument 4 of ‘void adelie_core::matrix::MatrixNaiveBase::cov(int, int, const Eigen::Ref >&, Eigen::Ref >, Eigen::Ref >) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 176 | Eigen::Ref out, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:423:20: required from ‘void adelie_core::matrix::MatrixNaiveRSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:412:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:423:34: required from ‘void adelie_core::matrix::MatrixNaiveRSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:412:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:130:44: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:114:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:131:27: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:114:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:152:46: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:137:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:153:28: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:137:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:153:28: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:137:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:226:18: required from ‘adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:27 = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:233:60: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:215:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:229:17: required from ‘adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:27 = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:233:60: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:215:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:229:17: required from ‘adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:27 = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:233:60: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:215:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:41: required from ‘typename adelie_core::matrix::MatrixNaiveStandardize::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:86:37: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:73:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:102:40: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:34: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:34: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:25: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:39: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:117:32: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:119:21: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:120:20: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:123:42: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:124:22: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:131:37: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:144:34: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:136:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:144:25: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:136:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:144:46: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:136:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:60: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:88: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:180:83: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:181:72: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::OuterStride<> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:184:18: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:185:67: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, 1, -1, true> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:217:36: required from ‘adelie_core::matrix::MatrixNaiveStandardize::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:25 = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:220:60: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:188:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:225:52: required from ‘void adelie_core::matrix::MatrixNaiveSparse::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:212:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 0, Eigen::Stride<0, 0> >, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:234:24: required from ‘void adelie_core::matrix::MatrixNaiveSparse::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:212:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:234:19: required from ‘adelie_core::matrix::MatrixNaiveSparse, int>::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:22 = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:237:60: required from ‘void adelie_core::matrix::MatrixNaiveSparse::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:212:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Ref > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Ref > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref >, const Eigen::Ref > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref >, const Eigen::Ref >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:109:26: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:185:49: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 0>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, 0>, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::OuterStride<> >, 0>, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:185:59: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::cov(int, int, const Eigen::Ref >&, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::cov(int, int, const Eigen::Ref >&, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::cov(int, int, const Eigen::Ref >&, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, int>::cov(int, int, const Eigen::Ref >&, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >)::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:299:53: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr::Type Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >::cast() const [with NewType = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:193:64: required from ‘void adelie_core::matrix::MatrixNaiveSNPUnphased::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:140:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:193:67: required from ‘void adelie_core::matrix::MatrixNaiveSNPUnphased::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:140:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Ref > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Ref > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Ref > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Ref > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:192:43: required from ‘void adelie_core::matrix::MatrixNaiveSNPUnphased::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:140:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:315:42: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:319:33: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:26: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:42: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:62: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:333:28: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:24: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:24: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:352:62: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:354:30: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:355:38: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:39: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:42: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:423:47: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:426:32: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:426:52: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:426:86: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:426:65: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:426:65: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:87: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:483:40: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, true>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:496:40: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:500:37: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:519:28: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:77:38: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:105:49: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:127:41: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Ref > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Ref > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Ref >, const Eigen::Ref > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:54: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:60:54: required from ‘void adelie_core::matrix::MatrixNaiveDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:60:23: required from ‘void adelie_core::matrix::MatrixNaiveDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:71:31: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:75:26: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:91:44: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:140:69: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:140:91: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:151:86: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:151:94: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > > >, 1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate > > > >, 1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:151:53: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:151:53: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:170:31: required from ‘void adelie_core::matrix::MatrixNaiveDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:161:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:481:27: required from ‘void adelie_core::matrix::MatrixNaiveRConcatenate::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:461:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:238:38: required from ‘void adelie_core::matrix::MatrixNaiveCConcatenate::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:224:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:102:25: required from ‘void adelie_core::matrix::MatrixCovSparse::to_dense(int, int, Eigen::Ref::colmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::colmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:96:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, true>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:36: required from ‘void adelie_core::matrix::MatrixCovLazyCov::mul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 1, -1, true> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:49: required from ‘void adelie_core::matrix::MatrixCovLazyCov::mul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::mul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:154:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::to_dense(int, int, Eigen::Ref::type::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:137:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:154:58: required from ‘void adelie_core::matrix::MatrixCovLazyCov::to_dense(int, int, Eigen::Ref::type::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:137:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:154:87: required from ‘void adelie_core::matrix::MatrixCovLazyCov::to_dense(int, int, Eigen::Ref::type::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:137:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:50: required from ‘void adelie_core::matrix::MatrixCovDense::mul(const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::vec_index_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:31: required from ‘void adelie_core::matrix::MatrixCovDense::mul(const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::vec_index_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:31: required from ‘void adelie_core::matrix::MatrixCovDense::mul(const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::vec_index_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:85:25: required from ‘void adelie_core::matrix::MatrixCovDense::to_dense(int, int, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::colmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:79:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:85:13: required from ‘void adelie_core::matrix::MatrixCovDense::to_dense(int, int, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::colmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:79:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_block_diag.hpp:210:22: required from ‘void adelie_core::matrix::MatrixCovBlockDiag::to_dense(int, int, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixCovBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_block_diag.hpp:188:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:404:48: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:404:60: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:613:36: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:613:45: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:42: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:56: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:65: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:51: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:64: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:60: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:73: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:64: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:73: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:643:32: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper > >; X2Type = Eigen::MatrixWrapper > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32: required from ‘typename adelie_core::matrix::MatrixNaiveStandardize::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:46: required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:84:15: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:73:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:104:25: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:19: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, -1>; X2Type = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:119:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, -1>; X2Type = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:119:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:46: required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:129:15: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:144:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:136:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: required from ‘struct Eigen::internal::blas_traits, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:70:56: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, -1, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, -1, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, -1, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, 0, Eigen::Stride<0, 0> >, 1, -1, false>, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:627:29: required from ‘ExpressionType& Eigen::VectorwiseOp::operator/=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ExpressionType = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> > >; int Direction = 1]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:184:31: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:627:29: required from ‘ExpressionType& Eigen::VectorwiseOp::operator/=(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; ExpressionType = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> > >; int Direction = 0]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:185:31: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:688:32: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; OutType = Eigen::Ref >; BuffType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:688:32: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; OutType = Eigen::Ref >; BuffType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:728:30: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; OutType = Eigen::Ref >; BuffType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:159:21: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Ref >, const Eigen::Ref > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array; X2Type = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:345:14: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:21: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, 1, -1, false> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:28: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:60: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:46: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, true>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, true>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, true>, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:29: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:26: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:54: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:40: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:256:29: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:256:62: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:22: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:424:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:51: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:424:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:59:14: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEye::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEye::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:46:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:19: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:19: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:106:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:127:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:250:27: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:207:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Ref >, const Eigen::Ref > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:60:15: required from ‘void adelie_core::matrix::MatrixNaiveDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:21: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:28: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:60: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:46: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:26: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:54: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:40: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:22: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:61: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:47: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:54: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:40: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:21: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:40: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> > >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> > >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:22: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:149:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:51: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:149:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Options = 1; _StorageIndex = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:238:25: required from ‘void adelie_core::matrix::MatrixNaiveCConcatenate::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:224:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Options = 1; _StorageIndex = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:238:25: required from ‘void adelie_core::matrix::MatrixNaiveCConcatenate::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:224:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:47: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:57:59: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:19: required from ‘void adelie_core::matrix::MatrixCovLazyCov::mul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:23: required from ‘void adelie_core::matrix::MatrixCovDense::mul(const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::vec_index_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr::Type Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::cast() const [with NewType = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:108:62: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:108:71: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:136:45: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:147:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:221:45: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_btmul(int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:231:45: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_btmul(int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:80: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:104: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:151:30: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:151:76: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >::CastXpr’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >::CastXpr::Type Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >::cast() const [with NewType = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:184:72: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:184:81: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:224:74: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:243:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:273:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:373:54: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:373:46: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:373:40: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:379:45: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:392:45: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:406:45: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:19: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp, const Eigen::Ref > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Ref > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Ref > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Ref > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Ref > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp, const Eigen::Ref > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:227:13: required from ‘adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:27 = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:233:60: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:215:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:7: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> > >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false> > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false> > >, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:82: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:68: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:158:20: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: required from ‘struct Eigen::internal::blas_traits, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:89:62: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: required from ‘struct Eigen::internal::blas_traits, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:89:62: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; OtherType = Eigen::Transpose, 0, Eigen::OuterStride<> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::OuterStride<> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:157:29: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:232:20: required from ‘void adelie_core::matrix::MatrixNaiveCConcatenate::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:224:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:106:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:134:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:145:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:219:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_btmul(int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:229:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_btmul(int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:149:32: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:182:28: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:224:31: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:241:27: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:271:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_bmul(int, int, int, int, int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:373:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:377:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:390:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:404:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:346:24: required from ‘Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::coeffRef(Eigen::Index, Eigen::Index) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:368:22: required from ‘Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:638:27: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref >; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref >; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Ref >]’ rcpp_matrix.h:125:13: required from ‘void adelie_core::matrix::MatrixNaiveS4::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_matrix.h:119:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper > >; U = Eigen::MatrixWrapper > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper > >; Derived = Eigen::MatrixWrapper > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper > >; X2Type = Eigen::MatrixWrapper > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32: required from ‘typename adelie_core::matrix::MatrixNaiveStandardize::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, false>; U = Eigen::Block > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block > >, 1, -1, false>; Derived = Eigen::Block > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper > >; X2Type = Eigen::MatrixWrapper > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32: required from ‘typename adelie_core::matrix::MatrixNaiveStandardize::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; U = Eigen::MatrixWrapper, 1, -1, false> >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, 1, -1, false> >; Derived = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:29:114: required from ‘static void Eigen::selfadjoint_rank1_update::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:180:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:33:36: required from ‘static void Eigen::selfadjoint_rank1_update::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:180:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:691:18: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; OutType = Eigen::Ref >; BuffType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:159:35: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; U = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Ref > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Ref > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Ref > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Ref > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Ref > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:180:89: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, 1, -1, false>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, 1, -1, false>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 1, -1, false> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:605:21: required from ‘auto adelie_core::matrix::snp_phased_ancestry_dot(const IOType&, int, const VType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseNullaryOp, int>::cov(int, int, const Eigen::Ref >&, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >)::, Eigen::Array >; BuffType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:297:65: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block, 1, -1, true>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block, 1, -1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block, 1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:496:30: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:22:12: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:23: required from ‘void adelie_core::matrix::MatrixCovDense::mul(const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::vec_index_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Ref > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Ref > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Ref >, const Eigen::Ref > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Ref >, const Eigen::Ref > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:106:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:106:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:123:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:123:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:149:32: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:149:32: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:182:28: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:182:28: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; U = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_bmul(int, int, int, int, int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_bmul(int, int, int, int, int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_bmul(int, int, int, int, int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, false>; U = Eigen::Block > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block > >, 1, -1, false>; Derived = Eigen::Block > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper > >; X2Type = Eigen::MatrixWrapper > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32: required from ‘typename adelie_core::matrix::MatrixNaiveStandardize::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:159:35: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:82:12: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:59:14: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEye::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEye::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:46:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:59:14: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEye::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEye::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:46:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:82:12: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:106:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:106:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:102:13: required from ‘void adelie_core::matrix::MatrixCovSparse::to_dense(int, int, Eigen::Ref::colmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::colmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:96:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Ref, 0, Eigen::OuterStride<> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:102:13: required from ‘void adelie_core::matrix::MatrixCovSparse::to_dense(int, int, Eigen::Ref::colmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::colmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:96:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; Src = Eigen::CwiseUnaryOp, const Eigen::Ref > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; Src = Eigen::CwiseUnaryOp, const Eigen::Ref > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Ref > >; Derived = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:82:12: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp, const Eigen::Ref > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp, const Eigen::Ref > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, 0, Eigen::OuterStride<> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1452:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block, -1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:423:24: required from ‘void adelie_core::matrix::MatrixNaiveRSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:412:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block, -1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:423:24: required from ‘void adelie_core::matrix::MatrixNaiveRSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:412:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:181:18: required from ‘Derived& Eigen::ArrayBase::operator-=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:33: required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:84:15: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:73:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:181:18: required from ‘Derived& Eigen::ArrayBase::operator-=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:33: required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:129:15: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:22:12: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; SrcXprType = Eigen::Block, 1, -1, true>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; SrcXprType = Eigen::Block, 1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block, 1, -1, true>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block, 1, -1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block, 1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:496:30: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:60:15: required from ‘void adelie_core::matrix::MatrixNaiveDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:53:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block > >, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block > >, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Matrix; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::MatrixWrapper > >; SrcXprType = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::MatrixWrapper > >; SrcXprType = Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:481:46: required from ‘void adelie_core::matrix::MatrixNaiveRConcatenate::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:461:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >; Derived = Eigen::Ref >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:22:12: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:19: required from ‘void adelie_core::matrix::MatrixCovLazyCov::mul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:19: required from ‘void adelie_core::matrix::MatrixCovLazyCov::mul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; SrcXprType = Eigen::Transpose, -1, -1, false> >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; SrcXprType = Eigen::Transpose, -1, -1, false> >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose, -1, -1, false> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose, -1, -1, false> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose, -1, -1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:154:47: required from ‘void adelie_core::matrix::MatrixCovLazyCov::to_dense(int, int, Eigen::Ref::type::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:137:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; SrcXprType = Eigen::Transpose, -1, -1, false> >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; SrcXprType = Eigen::Transpose, -1, -1, false> >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose, -1, -1, false> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose, -1, -1, false> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose, -1, -1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:154:47: required from ‘void adelie_core::matrix::MatrixCovLazyCov::to_dense(int, int, Eigen::Ref::type::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:137:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >, 1, -1, false> >; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >, 1, -1, false> >; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:23: required from ‘void adelie_core::matrix::MatrixCovDense::mul(const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::vec_index_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:106:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:123:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:149:32: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:182:28: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_bmul(int, int, int, int, int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper > >; U = Eigen::MatrixWrapper > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper > >; Derived = Eigen::MatrixWrapper > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper > >; X2Type = Eigen::MatrixWrapper > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32: required from ‘typename adelie_core::matrix::MatrixNaiveStandardize::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, false>; U = Eigen::Block > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block > >, 1, -1, false>; Derived = Eigen::Block > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper > >; X2Type = Eigen::MatrixWrapper > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32: required from ‘typename adelie_core::matrix::MatrixNaiveStandardize::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, -1>; X2Type = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:119:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, -1>; X2Type = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:119:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; U = Eigen::MatrixWrapper, 1, -1, false> >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, 1, -1, false> >; Derived = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:144:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:136:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:62: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:62: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 0>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>; SrcXprType = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>; SrcXprType = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:728:9: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseUnaryOp, const Eigen::Ref > >; OutType = Eigen::VectorBlock, 0, Eigen::OuterStride<> >, 0>, -1>; BuffType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:186:50: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array; X2Type = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:345:14: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false> >, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false> >, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Matrix; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block >, 1, -1, false> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Matrix; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Dest = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Dest = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Dest = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:36: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:424:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:36: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:424:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:59:14: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEye::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEye::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:46:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:106:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:82:12: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:127:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:127:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:110:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:36: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:149:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:36: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:149:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:134:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:145:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:219:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_btmul(int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:229:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_btmul(int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; U = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:224:31: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:241:27: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:271:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:373:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:377:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:390:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:404:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Ref > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >; SrcXprType = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >; SrcXprType = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp, const Eigen::Ref > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >; SrcXprType = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >; SrcXprType = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp, const Eigen::Ref > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseUtil.h:121:8: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:50:59: required from ‘static void Eigen::internal::generic_product_impl::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; ActualLhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductType = 8; typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::DenseShape) [with Dest = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:234:19: required from ‘adelie_core::matrix::MatrixNaiveSparse, int>::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:22 = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:237:60: required from ‘void adelie_core::matrix::MatrixNaiveSparse::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:212:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Dest = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::MatrixWrapper > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:907:22: required from ‘void Eigen::internal::call_restricted_packet_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:47: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::false_type) [with Dst = Eigen::Block, -1, -1, true>; LhsT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; RhsT = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Func = Eigen::internal::assign_op; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:123:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:123:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; U = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_bmul(int, int, int, int, int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_bmul(int, int, int, int, int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:234:19: required from ‘adelie_core::matrix::MatrixNaiveSparse, int>::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:22 = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:237:60: required from ‘void adelie_core::matrix::MatrixNaiveSparse::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:212:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block >, 1, -1, false> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::SparseShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:500:32: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35: required from ‘static void Eigen::internal::sparse_time_dense_product_impl::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DenseRhsType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; DenseResType = Eigen::Matrix; LhsEval = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; Res = Eigen::Matrix; typename Eigen::internal::remove_all::type::Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:131:19: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::SparseShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:500:32: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::MatrixWrapper >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Block >, 1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Block >, 1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 2, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator > > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >; Functor = Eigen::internal::add_assign_op; int Version = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel > > >, Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::add_assign_op, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, true> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, true> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1, -1, true> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref >; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref >; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1>; Derived = Eigen::Ref >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:728:9: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; OutType = Eigen::Ref >; BuffType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 2, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 2, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:278:57: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block >, 1, -1, false> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref >; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref >; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1>; Derived = Eigen::Ref >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:728:9: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; OutType = Eigen::Ref >; BuffType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block >, 1, -1, false> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, false>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block >, 1, -1, false> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Block, 1, -1, true>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:519:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref >; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref >; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1>; Derived = Eigen::Ref >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:728:9: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; OutType = Eigen::Ref >; BuffType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block >, 1, -1, false> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, true> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, false>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::MatrixWrapper > >]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, false>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Derived = Eigen::Block, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:13: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Block, 1, -1, true>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:519:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_matrix_utils_blas.cpp -o rcpp_matrix_utils_blas.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_matrix_utils_blas.cpp:8: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ rcpp_matrix_utils_blas.cpp:20:1: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ rcpp_matrix_utils_blas.cpp:20:1: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ rcpp_matrix_utils_blas.cpp:22:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:76: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:821:68: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:35: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:819:20: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, const Eigen::Block >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, const Eigen::Block >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, const Eigen::Block >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, const Eigen::Block >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, const Eigen::Block >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl > >, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, Eigen::Map >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, Eigen::Map >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, Eigen::Map >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, 1, -1, true>, Eigen::Map >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, 1, -1, true>, Eigen::Map >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, 1, -1, true>, Eigen::Map >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl > >, 1, -1, true>, Eigen::Map >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose > >; Rhs = const Eigen::Block >, -1, 1, true>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose > >; Rhs = const Eigen::Block >, -1, 1, true>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose > >; Rhs = const Eigen::Block >, -1, 1, true>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator > >, Eigen::Map >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ rcpp_matrix_utils_blas.cpp:24:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_solver.cpp -o rcpp_solver.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_solver.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22: required from ‘class adelie_core::glm::GlmBase’ rcpp_glm.h:164:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22: required from ‘class adelie_core::glm::GlmBase’ rcpp_glm.h:164:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22: required from ‘class adelie_core::glm::GlmBase’ rcpp_glm.h:164:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ rcpp_glm.h:166:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_glm.h:173:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ rcpp_glm.h:174:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ rcpp_glm.h:174:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:23:22: required from ‘class adelie_core::glm::GlmMultiBase’ rcpp_glm.h:203:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:23:22: required from ‘class adelie_core::glm::GlmMultiBase’ rcpp_glm.h:203:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ rcpp_glm.h:205:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ rcpp_glm.h:212:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_glm.h:214:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ rcpp_glm.h:215:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ rcpp_glm.h:215:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_base.hpp:96:18: required from ‘class adelie_core::matrix::MatrixCovBase’ rcpp_matrix.h:244:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:186:18: required from ‘class adelie_core::matrix::MatrixNaiveBase’ rcpp_matrix.h:269:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ rcpp_matrix.h:289:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ rcpp_matrix.h:297:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_matrix.h:299:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ rcpp_matrix.h:300:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:26:37: required from ‘class adelie_core::matrix::MatrixNaiveInteractionDense, int>’ rcpp_matrix.h:314:1: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:344:23: required from ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref, 0, Eigen::InnerStride<1> >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’ rcpp_io.h:32:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:3, from rcpp_io.h:3, from rcpp_matrix.h:4, from rcpp_solver.cpp:3: ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp: In instantiation of ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref, 0, Eigen::InnerStride<1> >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’: rcpp_io.h:32:41: required from here ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:43: note: initializing argument 3 of ‘void adelie_core::io::compute_impute(const Eigen::Ref >&, adelie_core::util::impute_method_type, Eigen::Ref, 0, Eigen::InnerStride<1> >, size_t)’ 91 | Eigen::Ref> impute, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:64:7: required from ‘class Eigen::SparseVector’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multigaussian_naive.hpp:37:52: required from ‘void adelie_core::solver::multigaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::; CUIType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:143:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multigaussian_naive.hpp:39:29: required from ‘void adelie_core::solver::multigaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::; CUIType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:143:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multigaussian_naive.hpp:42:34: required from ‘void adelie_core::solver::multigaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::; CUIType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:143:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:159:35: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:159:35: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.hpp:67:8: required from ‘struct adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:180:30: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:283:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, double, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::Array&, double, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, double)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, double, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::Array&, double, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, double)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, double, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::Array&, double, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, double)::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, double, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::Array&, double, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, double)::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:17:36: required from ‘auto adelie_core::solver::compute_lmda_max(const AbsGradType&, ValueType, const PenaltyType&, ValueType) [with AbsGradType = Eigen::Array; ValueType = double; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:301:36: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:345:29: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:661:55: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:662:67: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:664:70: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:664:70: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array; X2Type = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:283:22: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:37:68: required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:312:26: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:37:44: required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:312:26: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:37:44: required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:312:26: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:39:15: required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:312:26: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:37:30: required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:312:26: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, adelie_core::matrix::MatrixCovBase, double, int, int, int>, double>(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, adelie_core::matrix::MatrixCovBase, double, int, int, int>, double>(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, adelie_core::matrix::MatrixCovBase, double, int, int, int>, double>(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, adelie_core::matrix::MatrixCovBase, double, int, int, int>, double>(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:103:59: required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:298:23: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, adelie_core::matrix::MatrixCovBase, double, int, int, int>, double>(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, adelie_core::matrix::MatrixCovBase, double, int, int, int>, double>(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, adelie_core::matrix::MatrixCovBase, double, int, int, int>, double>(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, adelie_core::matrix::MatrixCovBase, double, int, int, int>, double>(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:121:70: required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:298:23: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:62:48: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from ‘class Eigen::Tridiagonalization >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:19: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:39: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:55: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >::CastXpr::Type Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >::cast() const [with NewType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:83: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:42: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:98:25: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:243:44: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:112 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:113 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:114 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:68:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:270:24: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:270:96: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:270:60: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:270:28: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:272:29: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:273:46: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:274:29: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:274:35: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:275:43: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:276:57: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:276:42: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:375:22: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Array, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:375:32: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:392:30: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:392:44: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:445:22: required from ‘static void Eigen::internal::sparse_vector_assign_selector::run(Dest&, const Src&) [with Dest = Eigen::SparseVector; Src = Eigen::Block, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:319:78: required from ‘Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>& Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; _Scalar = double; int _Options = 1; _StorageIndex = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multigaussian_naive.hpp:39:18: required from ‘void adelie_core::solver::multigaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::; CUIType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:143:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Array]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Array]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:288:29: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type = Eigen::Array::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits >::Scalar = double]’ rcpp_glm.h:166:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:371:41: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:364:18: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:345:16: required from ‘Eigen::Ref::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits >::match = Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::Stride<0, 0> > >]’ rcpp_glm.h:174:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Array; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:92:24: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Scalar&) [with _Scalar = double; int _Rows = 1; int _Cols = 1; int _Options = 1; int _MaxRows = 1; int _MaxCols = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:160:15: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/util/eigen/map_sparsevector.hpp:22:8: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:608:42: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:60:58: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:45: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:72:33: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:40: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:55: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:83:53: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:46: required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:243:27: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:112 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:113 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:114 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:68:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:103:59: required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:259:23: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:119 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:68:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:121:70: required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:259:23: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:119 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:68:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:142:23: required from ‘void adelie_core::solver::glm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:508:29: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:141 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:142 = adelie_core::glm::GlmBase; auto:143 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:146:21: required from ‘void adelie_core::solver::glm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:508:29: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:141 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:142 = adelie_core::glm::GlmBase; auto:143 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:149:21: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:150:43: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:149:25: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:148:30: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:103:59: required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:458:23: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:135 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:136 = double; auto:137 = bool; auto:138 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:121:70: required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:458:23: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:135 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:136 = double; auto:137 = bool; auto:138 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:156:23: required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = GlmWrap >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:167:31: required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = GlmWrap >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:167:58: required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = GlmWrap >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0>’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:168:43: required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = GlmWrap >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:167:61: required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = GlmWrap >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, -1, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, -1, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, -1, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, -1, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, -1, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, -1, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, -1, 1> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:179:41: required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = GlmWrap >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:411:32: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:665:13: required from ‘adelie_core::solver::gaussian::pin::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:74 = long unsigned int; value_t = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:240:35: required from ‘void adelie_core::solver::gaussian::pin::cov::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, UpdateScreenGradType, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; Iter = adelie_core::util::counting_iterator; ValueType = double; BufferPackType = GaussianPinCovBufferPack; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateScreenGradType = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; AdditionalStepType = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:551:31: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:268:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:269:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix, 0>’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:269:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false> >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false> >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false> >, Eigen::Matrix, 0>’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:276:59: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:280:36: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:690:13: required from ‘adelie_core::solver::gaussian::pin::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:75 = long unsigned int; auto:76 = Eigen::VectorBlock, -1>; auto:77 = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; auto:78 = Eigen::VectorBlock, -1>; auto:79 = double; auto:80 = double; auto:81 = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:281:35: required from ‘void adelie_core::solver::gaussian::pin::cov::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, UpdateScreenGradType, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; Iter = adelie_core::util::counting_iterator; ValueType = double; BufferPackType = GaussianPinCovBufferPack; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateScreenGradType = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; AdditionalStepType = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:551:31: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:286:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:286:61: required from ‘void adelie_core::solver::gaussian::pin::cov::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, UpdateScreenGradType, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; Iter = adelie_core::util::counting_iterator; ValueType = double; BufferPackType = GaussianPinCovBufferPack; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateScreenGradType = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; AdditionalStepType = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:551:31: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:297:65: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false> >, Eigen::Transpose >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false> >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false> >, Eigen::Transpose >, 0>’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:297:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:301:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:119 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:68:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:119 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:68:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:119 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:68:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:165:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:166:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:165:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:164:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:105:54: required from ‘void adelie_core::solver::gaussian::pin::update_convergence_measure(ValueType&, const DelType&, const VarType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; VarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:292:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:105:42: required from ‘void adelie_core::solver::gaussian::pin::update_convergence_measure(ValueType&, const DelType&, const VarType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; VarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:292:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:130:22: required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; XVarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:294:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:130:35: required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; XVarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:294:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:130:29: required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; XVarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:294:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:130:17: required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; XVarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:294:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:224:10: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:52: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:62: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:83:60: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:463:14: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:114:33: required from ‘void adelie_core::solver::gaussian::pin::naive::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&; Iter = adelie_core::util::counting_iterator; ValueType = double; BufferPackType = adelie_core::solver::gaussian::pin::GaussianPinBufferPack; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; AdditionalStepType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:314:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:123 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:124 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:68:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:151:26: required from ‘void adelie_core::solver::gaussian::pin::naive::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&; Iter = adelie_core::util::counting_iterator; ValueType = double; BufferPackType = adelie_core::solver::gaussian::pin::GaussianPinBufferPack; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; AdditionalStepType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:314:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:123 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:124 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:68:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:30:38: required from ‘auto adelie_core::bcd::root_lower_bound(const DiagType&, const VType&, ValueType) [with DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:207:47: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:31:34: required from ‘auto adelie_core::bcd::root_lower_bound(const DiagType&, const VType&, ValueType) [with DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:207:47: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:92:20: required from ‘auto adelie_core::bcd::root_upper_bound(const DiagType&, const VType&, ValueType, ValueType) [with DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:208:48: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:92:38: required from ‘auto adelie_core::bcd::root_upper_bound(const DiagType&, const VType&, ValueType, ValueType) [with DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:208:48: required from ‘void adelie_core::bcd::unconstrained::newton_abs_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:161:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:36: required from ‘auto adelie_core::bcd::root_function(ValueType, const DiagType&, const VType&, ValueType) [with ValueType = double; DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:230:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:40: required from ‘auto adelie_core::bcd::root_function(ValueType, const DiagType&, const VType&, ValueType) [with ValueType = double; DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:230:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:23: required from ‘auto adelie_core::bcd::root_function(ValueType, const DiagType&, const VType&, ValueType) [with ValueType = double; DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:230:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:53: required from ‘auto adelie_core::bcd::root_function(ValueType, const DiagType&, const VType&, ValueType) [with ValueType = double; DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:230:35: required from ‘void adelie_core::bcd::unconstrained::newton_abs_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:161:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:735:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:450:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:30: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:119 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:68:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:119 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:68:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:271:39: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::Array > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:275:56: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:276:64: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:392:67: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:30:52: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:67: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:67:20: required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; InitialType = newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:245:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:67:15: required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; InitialType = newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:245:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:79:28: required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; InitialType = newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:245:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:83:11: required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; InitialType = newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:245:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:78:22: required from ‘adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: [with auto:56 = double]’ ../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:47:35: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:79:34: required from ‘adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: [with auto:56 = double]’ ../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:47:35: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:101:15: required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; InitialType = newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:245:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1452:8: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:52: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:29:114: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:119 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:68:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:33:36: required from ‘static void Eigen::selfadjoint_rank1_update::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:119 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:68:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:142:54: required from ‘void adelie_core::solver::glm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:508:29: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:141 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:142 = adelie_core::glm::GlmBase; auto:143 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ rcpp_solver.cpp:106:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array; X2Type = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:283:22: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:181:18: required from ‘Derived& Eigen::ArrayBase::operator-=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:33: required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:243:27: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:112 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:113 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:114 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:68:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:105:61: required from ‘void adelie_core::solver::gaussian::pin::update_convergence_measure(ValueType&, const DelType&, const VarType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; VarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:292:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:130:48: required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; XVarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:294:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/util/eigen/map_sparsevector.hpp:75:9: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:445:22: required from ‘static void Eigen::internal::sparse_vector_assign_selector::run(Dest&, const Src&) [with Dest = Eigen::SparseVector; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:319:78: required from ‘Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>& Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:273:13: required from ‘Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>::SparseVector(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’ /usr/include/c++/13/bits/new_allocator.h:191:4: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:52: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:62: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 1, -1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:83:60: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:153:45: required from ‘void adelie_core::solver::gaussian::pin::naive::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&; Iter = adelie_core::util::counting_iterator; ValueType = double; BufferPackType = adelie_core::solver::gaussian::pin::GaussianPinBufferPack; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; AdditionalStepType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:314:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:123 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:124 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ rcpp_solver.cpp:68:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:29:40: required from ‘auto adelie_core::bcd::root_lower_bound(const DiagType&, const VType&, ValueType) [with DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:207:47: required from ‘void adelie_core::bcd::unconstrained::newton_abs_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:161:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:286:68: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:30:52: required from ‘auto adelie_core::bcd::root_lower_bound(const DiagType&, const VType&, ValueType) [with DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:207:47: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:67: required from ‘auto adelie_core::bcd::root_function(ValueType, const DiagType&, const VType&, ValueType) [with ValueType = double; DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:230:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, 1, -1, false>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, 1, -1, false>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 1, -1, false> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:80:24: required from ‘adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: [with auto:56 = double]’ ../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:47:35: required from ‘auto adelie_core::optimization::newton_root_find(InitialType, StepType, ProjectType, ValueType, size_t) [with InitialType = adelie_core::bcd::unconstrained::newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; StepType = adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; ProjectType = adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; ValueType = double; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:91:64: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:83:14: required from ‘adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: [with auto:56 = double]’ ../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:47:35: required from ‘auto adelie_core::optimization::newton_root_find(InitialType, StepType, ProjectType, ValueType, size_t) [with InitialType = adelie_core::bcd::unconstrained::newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; StepType = adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; ProjectType = adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; ValueType = double; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:91:64: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 1, -1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:31:55: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:92:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 1, -1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:56:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:790:80: required from ‘PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op; Lhs = const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>; Rhs = const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0>; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> > >, Eigen::internal::assign_op, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 2, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 2, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 2, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 2, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 2, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> >, -1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:791:80: required from ‘PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op; Lhs = const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>; Rhs = const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0>; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> > >, Eigen::internal::assign_op, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:337: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:166: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true>; U = Eigen::Block, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Dest = Eigen::Transpose >; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Dest = Eigen::Transpose >; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Dest = Eigen::Transpose >; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Dest = Eigen::Transpose >; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false> >, 1, -1, true>; U = Eigen::Block, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false> >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:892:21: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ rcpp_solver.cpp:181:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false> >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block, 1, -1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29: required from ‘struct Eigen::internal::product_triangular_matrix_matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 41 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 39 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ rcpp_solver.cpp:31:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘Eigen::internal::selfadjoint_product_impl, -1, -1, false>, 17, false, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Block, -1, 1, true>, -1, 1, false> const>, 0, true>::run, -1, 1, false> >(Eigen::Block, -1, 1, false>&, Eigen::Block, -1, -1, false> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Block, -1, 1, true>, -1, 1, false> const> const&, double const&)void [clone .isra.0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result_66’ may be used uninitialized [-Wmaybe-uninitialized] 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double *’ to ‘Eigen::internal::selfadjoint_matrix_vector_product::run(long, double const*, long, double const*, double*, double)’ declared here 41 | void selfadjoint_matrix_vector_product::run( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:341: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘Eigen::internal::trmv_selector<6, 1>::run, -1, -1, false> const, -1, -1, false> const>, Eigen::Transpose, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Transpose, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const>, Eigen::Transpose, 1, -1, true>, 1, -1, false> > >(Eigen::Transpose, -1, -1, false> const, -1, -1, false> const> const&, Eigen::Transpose, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Transpose, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const> const&, Eigen::Transpose, 1, -1, true>, 1, -1, false> >&, Eigen::Transpose, 1, -1, true>, 1, -1, false> >::Scalar const&)void [clone .isra.0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result_43’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double *’ to ‘Eigen::internal::triangular_matrix_vector_product::run(long, long, double const*, long, double const*, long, double*, long, double const&)’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_state.cpp -o rcpp_state.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_constraint.h:2, from rcpp_state.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18: required from ‘class adelie_core::constraint::ConstraintBase’ rcpp_constraint.h:18:9: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18: required from ‘class adelie_core::constraint::ConstraintBase’ rcpp_constraint.h:18:9: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18: required from ‘class adelie_core::constraint::ConstraintBase’ rcpp_constraint.h:18:9: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:93:1: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:237:5: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_io.h:29:5: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_io.h:29:5: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:186:18: required from ‘class adelie_core::matrix::MatrixNaiveBase’ rcpp_matrix.h:269:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ rcpp_matrix.h:289:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ rcpp_matrix.h:297:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_matrix.h:299:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ rcpp_matrix.h:300:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:26:37: required from ‘class adelie_core::matrix::MatrixNaiveInteractionDense, int>’ rcpp_matrix.h:314:1: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:225:28: required from ‘struct adelie_core::state::StateBase, double, int, int, int>’ rcpp_state.h:31:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:64:7: required from ‘class Eigen::SparseVector’ rcpp_state.cpp:437:18: recursively required by substitution of ‘template Rcpp::class_::self& Rcpp::class_::property(const char*, PROP (*)(RStateGaussianCov64*), void (*)(RStateGaussianCov64*, PROP), const char*) [with PROP = ]’ rcpp_state.cpp:437:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_state.cpp:31:16: required from ‘auto convert_betas(size_t, const BetasType&) [with BetasType = std::vector, std::allocator > >; size_t = long unsigned int]’ rcpp_state.cpp:437:18: recursively required by substitution of ‘template Rcpp::class_::self& Rcpp::class_::property(const char*, PROP (*)(RStateGaussianCov64*), void (*)(RStateGaussianCov64*, PROP), const char*) [with PROP = ]’ rcpp_state.cpp:437:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ rcpp_state.cpp:49:18: required from ‘auto convert_betas(size_t, const BetasType&) [with BetasType = std::vector, std::allocator > >; size_t = long unsigned int]’ rcpp_state.cpp:437:18: recursively required by substitution of ‘template Rcpp::class_::self& Rcpp::class_::property(const char*, PROP (*)(RStateGaussianCov64*), void (*)(RStateGaussianCov64*, PROP), const char*) [with PROP = ]’ rcpp_state.cpp:437:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:344:23: required from ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref, 0, Eigen::InnerStride<1> >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’ rcpp_io.h:32:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:3, from rcpp_io.h:3, from rcpp_matrix.h:4, from rcpp_state.h:3, from rcpp_state.cpp:2: ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp: In instantiation of ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref, 0, Eigen::InnerStride<1> >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’: rcpp_io.h:32:41: required from here ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:43: note: initializing argument 3 of ‘void adelie_core::io::compute_impute(const Eigen::Ref >&, adelie_core::util::impute_method_type, Eigen::Ref, 0, Eigen::InnerStride<1> >, size_t)’ 91 | Eigen::Ref> impute, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:252:34: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:47:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’ rcpp_state.cpp:49:9: required from ‘auto convert_betas(size_t, const BetasType&) [with BetasType = std::vector, std::allocator > >; size_t = long unsigned int]’ rcpp_state.cpp:437:18: recursively required by substitution of ‘template Rcpp::class_::self& Rcpp::class_::property(const char*, PROP (*)(RStateGaussianCov64*), void (*)(RStateGaussianCov64*, PROP), const char*) [with PROP = Eigen::SparseMatrix]’ rcpp_state.cpp:437:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:62:48: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:70:46: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:70:46: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from ‘class Eigen::Tridiagonalization >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from ‘class Eigen::Tridiagonalization >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:19: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:39: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:55: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >::CastXpr’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >::CastXpr::Type Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >::cast() const [with NewType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:83: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:42: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:98:25: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:56:35: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:47:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:51: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:47:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:63: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:47:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:72:76: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:47:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:371:41: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:364:18: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:345:16: required from ‘Eigen::Ref::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits >::match = Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::Stride<0, 0> > >]’ rcpp_matrix.h:252:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:60:66: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:60:66: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:60:58: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:45: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:66:35: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:72:33: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:40: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:55: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 1, -1, false> >’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:83:53: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’ rcpp_state.cpp:49:9: required from ‘auto convert_betas(size_t, const BetasType&) [with BetasType = std::vector, std::allocator > >; size_t = long unsigned int]’ rcpp_state.cpp:437:18: recursively required by substitution of ‘template Rcpp::class_::self& Rcpp::class_::property(const char*, PROP (*)(RStateGaussianCov64*), void (*)(RStateGaussianCov64*, PROP), const char*) [with PROP = Eigen::SparseMatrix]’ rcpp_state.cpp:437:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits::Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView, 1>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits::Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView, 1>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:19: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:568:20: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:463:14: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:57:62: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:35: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:47:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:73:7: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:35: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:47:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:52: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:62: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:83:60: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:735:21: required from ‘Derived& Eigen::PlainObjectBase::setOnes(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:440:22: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:30: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:35: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:47:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:35: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:47:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:33:36: required from ‘static void Eigen::selfadjoint_rank1_update::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:35: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:47:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >; Derived = Eigen::Array]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >; OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >; Derived = Eigen::Array]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:252:9: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:47:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1452:8: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:52: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:30: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:56:18: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:47:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:52: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:62: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 1, -1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:83:60: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:337: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:166: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:892:21: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29: required from ‘struct Eigen::internal::product_triangular_matrix_matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 39 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ rcpp_state.h:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘Eigen::internal::selfadjoint_product_impl, -1, -1, false>, 17, false, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Block, -1, 1, true>, -1, 1, false> const>, 0, true>::run, -1, 1, false> >(Eigen::Block, -1, 1, false>&, Eigen::Block, -1, -1, false> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Block, -1, 1, true>, -1, 1, false> const> const&, double const&)void [clone .isra.0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result_66’ may be used uninitialized [-Wmaybe-uninitialized] 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double *’ to ‘Eigen::internal::selfadjoint_matrix_vector_product::run(long, double const*, long, double const*, double*, double)’ declared here 41 | void selfadjoint_matrix_vector_product::run( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:341: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘Eigen::internal::trmv_selector<6, 1>::run, -1, -1, false> const, -1, -1, false> const>, Eigen::Transpose, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Transpose, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const>, Eigen::Transpose, 1, -1, true>, 1, -1, false> > >(Eigen::Transpose, -1, -1, false> const, -1, -1, false> const> const&, Eigen::Transpose, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Transpose, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const> const&, Eigen::Transpose, 1, -1, true>, 1, -1, false> >&, Eigen::Transpose, 1, -1, true>, 1, -1, false> >::Scalar const&)void [clone .isra.0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result_43’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double *’ to ‘Eigen::internal::triangular_matrix_vector_product::run(long, long, double const*, long, double const*, long, double*, long, double const&)’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++17 -shared -L/usr/lib64/R/lib -Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -o adelie.so RcppExports.o rcpp_configs.o rcpp_constraint.o rcpp_glm.o rcpp_io.o rcpp_matrix.o rcpp_matrix_utils_blas.o rcpp_solver.o rcpp_state.o -fopenmp -L/usr/lib64/R/lib -lR installing to /builddir/build/BUILDROOT/R-CRAN-adelie-1.0.2-1.fc39.copr7975920.x86_64/usr/local/lib/R/library/00LOCK-adelie/00new/adelie/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices converting help for package ‘adelie’ finding HTML links ... done cv.grpnet html gaussian_cov html glm.binomial html glm.cox html glm.gaussian html glm.multigaussian html glm.multinomial html glm.poisson html grpnet html io.snp_phased_ancestry html io.snp_unphased html matrix.block_diag html matrix.concatenate html matrix.dense html matrix.eager_cov html matrix.interaction html matrix.kronecker_eye html matrix.lazy_cov html matrix.one_hot html matrix.snp_phased_ancestry html matrix.snp_unphased html matrix.sparse html matrix.standardize html matrix.subset html plot.cv.grpnet html plot.grpnet html predict.cv.grpnet html predict.grpnet html print.cv.grpnet html print.grpnet html set_configs html ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (adelie) + test -d adelie/src + cd adelie/src + rm -f RcppExports.o rcpp_configs.o rcpp_constraint.o rcpp_glm.o rcpp_io.o rcpp_matrix.o rcpp_matrix_utils_blas.o rcpp_solver.o rcpp_state.o adelie.so + rm -f /builddir/build/BUILDROOT/R-CRAN-adelie-1.0.2-1.fc39.copr7975920.x86_64/usr/local/lib/R/library/R.css + find /builddir/build/BUILDROOT/R-CRAN-adelie-1.0.2-1.fc39.copr7975920.x86_64/usr/local/lib/R/library -type f -exec sed -i s@/builddir/build/BUILDROOT/R-CRAN-adelie-1.0.2-1.fc39.copr7975920.x86_64@@g '{}' ';' + /usr/bin/find-debuginfo -j2 --strict-build-id -m -i --build-id-seed 1.0.2-1.fc39.copr7975920 --unique-debug-suffix -1.0.2-1.fc39.copr7975920.x86_64 --unique-debug-src-base R-CRAN-adelie-1.0.2-1.fc39.copr7975920.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/adelie find-debuginfo: starting Extracting debug info from 1 files DWARF-compressing 1 files sepdebugcrcfix: Updated 1 CRC32s, 0 CRC32s did match. Creating .debug symlinks for symlinks to ELF files Copying sources found by 'debugedit -l' to /usr/src/debug/R-CRAN-adelie-1.0.2-1.fc39.copr7975920.x86_64 1131 blocks find-debuginfo: done + /usr/lib/rpm/check-buildroot + /usr/lib/rpm/redhat/brp-ldconfig + /usr/lib/rpm/brp-compress + /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip + /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip + /usr/lib/rpm/redhat/brp-mangle-shebangs + /usr/lib/rpm/brp-remove-la-files + env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j2 + /usr/lib/rpm/redhat/brp-python-hardlink Processing files: R-CRAN-adelie-1.0.2-1.fc39.copr7975920.x86_64 Provides: R-CRAN-adelie = 1.0.2-1.fc39.copr7975920 R-CRAN-adelie(x86-64) = 1.0.2-1.fc39.copr7975920 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: libR.so()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.11)(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.32)(64bit) libc.so.6(GLIBC_2.4)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libgomp.so.1()(64bit) libgomp.so.1(GOMP_1.0)(64bit) libgomp.so.1(GOMP_4.0)(64bit) libgomp.so.1(GOMP_4.5)(64bit) libgomp.so.1(OMP_1.0)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.29)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.5)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.18)(64bit) libstdc++.so.6(GLIBCXX_3.4.19)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.26)(64bit) libstdc++.so.6(GLIBCXX_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: R-CRAN-adelie-debugsource-1.0.2-1.fc39.copr7975920.x86_64 Provides: R-CRAN-adelie-debugsource = 1.0.2-1.fc39.copr7975920 R-CRAN-adelie-debugsource(x86-64) = 1.0.2-1.fc39.copr7975920 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Processing files: R-CRAN-adelie-debuginfo-1.0.2-1.fc39.copr7975920.x86_64 Provides: R-CRAN-adelie-debuginfo = 1.0.2-1.fc39.copr7975920 R-CRAN-adelie-debuginfo(x86-64) = 1.0.2-1.fc39.copr7975920 debuginfo(build-id) = 3aeab963e7834bd4e6f601d735c54368fa0faa1f Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: R-CRAN-adelie-debugsource(x86-64) = 1.0.2-1.fc39.copr7975920 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILDROOT/R-CRAN-adelie-1.0.2-1.fc39.copr7975920.x86_64 Wrote: /builddir/build/RPMS/R-CRAN-adelie-1.0.2-1.fc39.copr7975920.x86_64.rpm Wrote: /builddir/build/RPMS/R-CRAN-adelie-debugsource-1.0.2-1.fc39.copr7975920.x86_64.rpm Wrote: /builddir/build/RPMS/R-CRAN-adelie-debuginfo-1.0.2-1.fc39.copr7975920.x86_64.rpm Executing(%clean): /bin/sh -e /var/tmp/rpm-tmp.g4Nk7V + umask 022 + cd /builddir/build/BUILD + cd adelie + /usr/bin/rm -rf /builddir/build/BUILDROOT/R-CRAN-adelie-1.0.2-1.fc39.copr7975920.x86_64 + RPM_EC=0 ++ jobs -p + exit 0 Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.xKFr3c + umask 022 + cd /builddir/build/BUILD + rm -rf /builddir/build/BUILD/adelie-SPECPARTS + rm -rf adelie adelie.gemspec + RPM_EC=0 ++ jobs -p + exit 0 RPM build warnings: source_date_epoch_from_changelog set but %changelog is missing Finish: rpmbuild R-CRAN-adelie-1.0.2-1.fc39.copr7975920.src.rpm Finish: build phase for R-CRAN-adelie-1.0.2-1.fc39.copr7975920.src.rpm INFO: chroot_scan: 3 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-39-x86_64-1725413460.725143/root/var/log/dnf.log /var/lib/mock/fedora-39-x86_64-1725413460.725143/root/var/log/dnf.librepo.log /var/lib/mock/fedora-39-x86_64-1725413460.725143/root/var/log/dnf.rpm.log INFO: Done(/var/lib/copr-rpmbuild/results/R-CRAN-adelie-1.0.2-1.fc39.copr7975920.src.rpm) Config(child) 8 minutes 4 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot Finish: run Running RPMResults tool Package info: { "packages": [ { "name": "R-CRAN-adelie", "epoch": null, "version": "1.0.2", "release": "1.fc39.copr7975920", "arch": "src" }, { "name": "R-CRAN-adelie", "epoch": null, "version": "1.0.2", "release": "1.fc39.copr7975920", "arch": "x86_64" }, { "name": "R-CRAN-adelie-debugsource", "epoch": null, "version": "1.0.2", "release": "1.fc39.copr7975920", "arch": "x86_64" }, { "name": "R-CRAN-adelie-debuginfo", "epoch": null, "version": "1.0.2", "release": "1.fc39.copr7975920", "arch": "x86_64" } ] } RPMResults finished